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  2025 (6)
Drug–drug interaction extraction-based system: An natural language processing approach. Machado, J.; Rodrigues, C.; Sousa, R.; and Gomes, L. M. Expert Systems, 42(1): e13303. 2025.
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Automation of hospital workflows using international standards: A case study with imaging exams. Neto, C.; Hak, F.; Ferreira, D.; Abelha, A.; and Machado, J. Computer methods and programs in biomedicine, 266: 108777. 2025.
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Exploring the Bidirectional Relationship Between Obesity and Mental Health Disorders. Sousa, R.; Esteves, D.; Sousa, R.; Machado, J.; and Abelha, A. Procedia Computer Science, 257: 1116–1121. 2025.
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Integrating Data Science and AI in Disease Screening: A Scalable, Interoperable Software Architecture Proposal. Sá, A. L.; Peixoto, H.; and Machado, J. Procedia Computer Science, 257: 1128–1133. 2025.
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Exploring the potential of online social listening for noncommunicable disease monitoring. Braga, D.; Silva, I.; Rosário, R.; Novais, P.; Peixoto, H.; and Machado, J. PeerJ, 13: e19311. 2025.
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What We Know About the Role of Large Language Models for Medical Synthetic Dataset Generation. Montenegro, L.; Gomes, L. M; and Machado, J. M AI, 6(6): 109. 2025.
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  2024 (24)
Towards a standardized real-time data repository based on laboratory test results. Sousa, R.; Peixoto, H.; Guimarães, T.; Abelha, A.; and Machado, J. Procedia Computer Science, 231: 452–457. 2024.
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Decentralize healthcare marketplace. Cruz, G.; Guimarães, T.; Santos, M. F.; and Machado, J. Procedia Computer Science, 231: 439–444. 2024.
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Revolutionising the quality of life: The role of real-time sensing in smart cities. Miranda, R.; Alves, C.; Sousa, R.; Chaves, A.; Montenegro, L.; Peixoto, H.; Durães, D.; Machado, R.; Abelha, A.; Novais, P.; and others Electronics, 13(3): 550. 2024.
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Immersive shopping experiences: The role of augmented reality in e-commerce. Alves, C.; and Machado, J. In International Conference on Information Technology & Systems, pages 205–213, 2024. Springer Nature Switzerland Cham
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Collaborative Platform for Intelligent Monitoring of Diabetic Foot Patients-Colab4IMDF. Chaves, A.; Sousa, R.; Machado, J.; Abelha, A.; and Peixoto, H. In International Conference on Information Technology & Systems, pages 195–204, 2024. Springer Nature Switzerland Cham
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The Interplay of Inflation, Healthcare Spending, and Suicide Rates: An Empirical Analysis. Sousa, R.; Ribeiro, C.; Cardoso, C.; Freixo, B.; Peixoto, H.; Abelha, A.; and Machado, J. In International Conference on Information Technology & Systems, pages 467–476, 2024. Springer Nature Switzerland Cham
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Behaviour of machine learning algorithms in the classification of energy consumption in school buildings. Machado, J.; Chaves, A.; Montenegro, L.; Alves, C.; Durães, D.; Machado, R.; and Novais, P. Logic Journal of the IGPL,jzae058. 2024.
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Predictive quality model for customer defects. Silva, A. C.; Machado, J.; and Sampaio, P. The TQM Journal, 36(9): 155–174. 2024.
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Future perspectives in healthcare: An analysis of augmented reality and spatial computing in hospital environments. Alves, C.; Reis, J. L.; dos Santos, J. P. M.; Gomes, L.; and Machado, J. Procedia Computer Science, 238: 932–937. 2024.
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Intelligent search system for resume and labor law. Nguyen, H.; Pham, V.; Ngo, H. Q; Huynh, A.; Nguyen, B.; and Machado, J. PeerJ Computer Science, 10: e1786. 2024.
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Advanced tractography results agree with communication between Global Workspace and Integrated Information consciousness areas. Lori, N.; and Machado, J. . 2024.
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Standardizing Corneal Transplantation Records Using openEHR: Case Study. Ferreira, D.; Neto, C.; Hak, F.; Abelha, A.; Santos, M.; and Machado, J. JMIR Medical Informatics, 12: e48407. 2024.
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Ethical Decision-Making in Artificial Intelligence: A Logic Programming Approach. Machado, J.; Sousa, R.; Peixoto, H.; and Abelha, A. AI, 5(4): 2707–2724. 2024.
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Unlocking healthcare data potential: A comprehensive integration approach with GraphQL, openEHR, Redis, and Pervasive Business Intelligence. Sousa, R.; Abelha, V.; Peixoto, H.; and Machado, J. Technologies, 12(12): 265. 2024.
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Unveiling Societal Health Patterns: A Study of Physical Activity, Chronic Diseases, and Depression Symptoms in Europe. Sousa, R.; de Freitas Santos, M.; and Machado, J. In International Conference on Data Science and Artificial Intelligence, pages 266–279, 2024. Springer Nature Singapore Singapore
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Enhancing Automotive Products with TinyML and MEMS Sensors: A Preliminary Approach. Sousa, L.; Silva, R.; Peixoto, H.; Melo-Pinto, P.; Costa, A.; Melo, C.; Delgado, P.; Fukuda, V.; and Machado, J. In International Conference on Data Science and Artificial Intelligence, pages 194–208, 2024. Springer Nature Singapore Singapore
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A Comprehensive Digital Solution for Identifying and Addressing Academic Risk in Middle Education. Magalhães, R.; Durães, D.; Costa, A.; Machado, J.; and Novais, P. In International Conference on Intelligent Data Engineering and Automated Learning, pages 529–540, 2024. Springer Nature Switzerland Cham
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Standardizing Corneal Transplantation Records with openEHR: Case Study. Ferreira, D.; Neto, C.; Hak, F.; Abelha, A.; Santos, M.; and Machado, J. . 2024.
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Primary Health Care Appointments and Hospital Stay: An Impact Analysis. Lopes, J.; Miranda, T.; Sousa, R.; and Machado, J. Procedia Computer Science, 251: 696–702. 2024.
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Innovative mobile solutions for visual and mobility disabilities: a comprehensive overview. Fernandes, J.; Machado, J.; Duarte, J.; and Peixoto, H. Procedia Computer Science, 251: 684–689. 2024.
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Method to generate a database for synchronization of a text, a video and/or audio media. Santos, P. A. R.; Da Silva, I. L.; Lori, N. F.; and MACHADO, J. M. F. June 13 2024. US Patent App. 18/536,487
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An Architectural Proposal for Injury Assessment in Occupational Medicine. Fernandes, M.; Peixoto, H.; and Machado, J. In International Symposium on Distributed Computing and Artificial Intelligence, pages 181–190, 2024. Springer Nature Switzerland Cham
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Harnessing Deep Learning for Detection of Violence and Vandalism. Ribeiro, T.; Pavón, J.; Machado, J.; and Novais, P. In Advances in Artificial Intelligence–IBERAMIA 2024: 18th Ibero-American Conference on AI, Montevideo, Uruguay, November 13–15, 2024, Proceedings, pages 476, 2024. Springer Nature
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Efficiency of the Transformer Model in Time Series Forecasting: A Case Study in Wastewater Treatment Plants. Medeiros, G.; Marcondes, F. S; Oliveira, P.; Machado, J.; and Novais, P. In Ibero-American Conference on Artificial Intelligence, pages 298–309, 2024. Springer Nature Switzerland Cham
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  2023 (29)
Distributed Computing and Artificial Intelligence, Special Sessions I, 20th International Conference. Mehmood, R.; Alves, V.; Praça, I.; Wikarek, J.; Parra-Domı́nguez, Javier; Loukanova, R.; de Miguel, I.; Pinto, T.; Nunes, R.; and Ricca, M. 2023.
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An overview of omnichannel interaction in health care services. Moreira, A.; Alves, C.; Machado, J.; and Santos, M. F. Mayo Clinic Proceedings: Digital Health, 1(2): 77–93. 2023.
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Data platforms for real-time insights in healthcare: systematic review. Miranda, R.; Alves, C.; Abelha, A.; and Machado, J. Procedia Computer Science, 220: 826–831. 2023.
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Enhancing clinical management of bariatric surgery using business intelligence. Vaz, L.; Peixoto, H.; Duarte, J.; Alvarez, C.; and Machado, J. Procedia Computer Science, 220: 850–855. 2023.
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An architecture proposal for noncommunicable diseases prevention. Braga, D.; Oliveira, D.; Rosário, R.; Novais, P.; and Machado, J. Procedia Computer Science, 220: 820–825. 2023.
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A data acquisition and consolidation system based on openEHR applied to physical medicine and rehabilitation. Silva, I.; Ferreira, D.; Peixoto, H.; and Machado, J. Procedia Computer Science, 220: 844–849. 2023.
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A Framework for Representing, Building and Reusing Novel State-of-the-Art Three-Dimensional Object Detection Models in Point Clouds Targeting Self-Driving Applications. Silva, A. L.; Oliveira, P.; Durães, D.; Fernandes, D.; Névoa, R.; Monteiro, J.; Melo-Pinto, P.; Machado, J.; and Novais, P. Sensors, 23(14): 6427. 2023.
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Implementing a software-as-a-service strategy in healthcare workflows. Sousa, R.; Peixoto, H.; Abelha, A.; and Machado, J. In International Symposium on Distributed Computing and Artificial Intelligence, pages 347–356, 2023. Springer Nature Switzerland Cham
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AI-assisted Solutions for COVID-19 and Biomedical Applications in Smart Cities: Third EAI International Conference, AISCOVID-19 2022, Braga, Portugal, November 16-18, 2022, Proceedings. Machado, J. M.; and Peixoto, H. 2023.
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Information technology monitoring in healthcare: a case study. Ramos, V.; Marques, C.; Peixoto, H.; and Machado, J. In International Conference on Information Technology & Systems, pages 351–361, 2023. Springer International Publishing Cham
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Multi-agent system for multimodal machine learning object detection. Coelho, E.; Pimenta, N.; Peixoto, H.; Durães, D.; Melo-Pinto, P.; Alves, V.; Bandeira, L.; Machado, J.; and Novais, P. In International Conference on Hybrid Artificial Intelligence Systems, pages 673–681, 2023. Springer Nature Switzerland Cham
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Smart cities using crowdsensing and geoferenced notifications. Miranda, R.; Ribeiro, E.; Durães, D.; Peixoto, H.; Machado, R.; Abelha, A.; and Machado, J. In Sustainable Smart Cities and Territories International Conference, pages 97–110, 2023. Springer Nature Switzerland Cham
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Intelligent systems in healthcare: an architecture proposal. Chaves, A.; Montenegro, L.; Peixoto, H.; Abelha, A.; Gomes, L.; and Machado, J. In International Symposium on Ambient Intelligence, pages 230–238, 2023. Springer Nature Switzerland Cham
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Multidimensional Sentiment Analysis of Tourism Object in DKI Jakarta, Banten, East Java, Central Java and West Java using Support Vector Machine Algorithm. Arfilinia, A.; Andreswari, R.; Hamami, F.; and Machado, J. M. F. In 2023 International Conference on Advancement in Data Science, E-learning and Information System (ICADEIS), pages 1–6, 2023. IEEE
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Breast Cancer Detection on Histopathology Images Using Pre-trained Computer Vision Models. Fauzan, D. F.; Fauzi, R.; Pratiwi, O. N.; and Machado, J. M. F. In 2023 International Conference on Advancement in Data Science, E-learning and Information System (ICADEIS), pages 1–6, 2023. IEEE
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Discovery of Hospital Billing Process in a Regional Hospital Using Process Mining. Prema, I G. N. A. A.; Andreswari, R.; Machado, J. M. F.; and others In 2023 International Conference on Advancement in Data Science, E-learning and Information System (ICADEIS), pages 1–5, 2023. IEEE
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Analysis and Application of The Mining Process to Identify Student Learning Behaviour On The Use of E-Learning After The Covid-19 Pandemic. Ahab, M. H.; Witarsyah, D.; Andreswari, R.; Machado, J. M. F.; and Mahdin, H. ASIA PACIFIC JOURNAL OF INFORMATION SYSTEM AND DIGITAL TRANSFORMATION, 1(01): 1–9. 2023.
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Intelligent Computer Vision System for Analysis and Characterization of Yarn Quality. Electronics 2023, 12, 236. Pereira, F; Macedo, A; Pinto, L; Soares, F; Vasconcelos, R; Machado, J; and Carvalho, V 2023.
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How Decentralized Autonomous Organizations are Affecting Real Estate. Cruz, G.; Guimarães, T.; Santos, M. F.; and Machado, J. In International Congress on Blockchain and Applications, pages 276–285, 2023. Springer Nature Switzerland Cham
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A Machine Learning Approach to Evaluating the Relationship Between Dental Extraction and Craniofacial Growth in Adolescents. Hernández, G.; González-Briones, A.; Machado, J.; Chamoso, P.; and Novais, P. In International Conference on Data Science and Artificial Intelligence, pages 300–313, 2023. Springer Nature Singapore Singapore
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Enhancing data science interoperability: an innovative system for managing OpenEHR structures. Dias, M.; Sousa, R.; Duarte, J.; Peixoto, H.; Abelha, A.; and Machado, J. In International Conference on Data Science and Artificial Intelligence, pages 288–299, 2023. Springer Nature Singapore Singapore
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A Reinforcement Learning Algorithm for Improving the Generation of Telerehabilitation Activities of ABI Patients. Zhinin-Vera, L.; Moya, A.; Navarro, E.; Jaen, J.; and Machado, J. In International Conference on Ubiquitous Computing and Ambient Intelligence, pages 15–26, 2023. Springer Nature Switzerland Cham
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Clustering ABI Patients for a Customized Rehabilitation Process. Moya, A.; Zhinin-Vera, L.; Navarro, E.; Jaen, J.; and Machado, J. In International Conference on Ubiquitous Computing and Ambient Intelligence, pages 217–228, 2023. Springer Nature Switzerland Cham
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Urban traffic simulation using mobility patterns synthesized from real sensors. Gonçalves, F.; Silva, G. O; Santos, A.; Rocha, A. M. A.; Peixoto, H.; Durães, D.; and Machado, J. Electronics, 12(24): 4971. 2023.
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AI-Based Medical Scribe to Support Clinical Consultations: A Proposed System Architecture. Montenegro, L.; Gomes, L. M; and Machado, J. M In EPIA Conference on Artificial Intelligence, pages 274–285, 2023. Springer Nature Switzerland Cham
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Blockchain and Applications, 5th International Congress. Machado, J. M.; Prieto, J.; Vieira, P.; Peixoto, H.; Abelha, A.; Arroyo, D.; and Vigneri, L. 2023.
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Spatial computing and augmented reality—challenges in e-commerce. Alves, C.; Machado, J.; and Reis, J. L. In International Conference on Marketing and Technologies, pages 851–863, 2023. Springer Nature Singapore Singapore
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The Correlation of Headline News Sentiment and Stock Return During Dividend Period. Denanti, S. P.; Yunita, I.; Widarmanti, T.; and Machado, J. M. F. In 2023 International Conference on Digital Business and Technology Management (ICONDBTM), pages 1–6, 2023. IEEE
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Evaluation of transfer learning to improve arrhythmia classification for a small ECG database. Martinez, L. M. M.; Peixoto, H.; and Machado, J. M. . 2023.
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  2022 (39)
The development of a pervasive Web application to alert patients based on business intelligence clinical indicators: a case study in a health institution. Esteves, M.; Abelha, A.; and Machado, J. Wireless Networks,1–7. 2022.
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A data mining approach to classify serum creatinine values in patients undergoing continuous ambulatory peritoneal dialysis. Brito, C.; Esteves, M.; Peixoto, H.; Abelha, A.; and Machado, J. Wireless Networks,1–9. 2022.
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Prediction models for coronary heart disease. Neto, C.; Ferreira, D.; Ramos, J.; Cruz, S.; Oliveira, J.; Abelha, A.; and Machado, J. In Distributed Computing and Artificial Intelligence, Volume 1: 18th International Conference 18, pages 119–128, 2022. Springer International Publishing
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Prediction of covid-19 diagnosis based on openehr artefacts. Oliveira, D.; Ferreira, D.; Abreu, N.; Leuschner, P.; Abelha, A.; and Machado, J. Scientific Reports, 12(1): 12549. 2022.
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Classification of Dementia in Adults. Neto, C.; Ferreira, D.; Nunes, J.; Braga, L.; Martins, L.; Cunha, L.; and Machado, J. In Developments and Advances in Defense and Security: Proceedings of MICRADS 2021, pages 283–293, 2022. Springer Singapore
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Detecting Autism Spectrum Disorder Using Data Mining. Guisasola, A. C; Ferreira, D.; Neto, C.; Abelha, A.; and Machado, J. In Developments and Advances in Defense and Security: Proceedings of MICRADS 2021, pages 271–281, 2022. Springer Singapore
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Deep learning for activity recognition using audio and video. Reinolds, F.; Neto, C.; and Machado, J. Electronics, 11(5): 782. 2022.
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Weakness evaluation on in-vehicle violence detection: an assessment of X3D, C2D and I3D against FGSM and PGD. Santos, F.; Durães, D.; Marcondes, F. S; Hammerschmidt, N.; Machado, J.; and Novais, P. Electronics, 11(6): 852. 2022.
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Classification of polycystic ovary syndrome based on correlation weight using machine learning. Marreiros, M.; Ferreira, D.; Neto, C.; Witarsyah, D.; and Machado, J. In Big Data Analytics and Artificial Intelligence in the Healthcare Industry, pages 150–176. IGI Global Scientific Publishing, 2022.
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Predicting Diabetes Disease for healthy smart cities. Peixoto, H; Ramos, V; Marques, C; and Machado, J EAI Endorsed Trans. Smart Cities, 6: e1. 2022.
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Pervasive monitoring system for services and servers in healthcare environment. Marques, C.; Ramos, V.; Peixoto, H.; and Machado, J. Procedia Computer Science, 201: 720–725. 2022.
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Rule-based clinical decision support system using the openehr standard. Silva, S. T.; Hak, F.; and Machado, J. Procedia Computer Science, 201: 726–731. 2022.
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Human-assisted vs. deep learning feature extraction: an evaluation of ECG features extraction methods for arrhythmia classification using machine learning. Montenegro, L.; Abreu, M.; Fred, A.; and Machado, J. M Applied Sciences, 12(15): 7404. 2022.
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On tuning the particle swarm optimization for solving the traffic light problem. Silva, G. O; Rocha, A. M. A.; Witeck, G. R; Silva, A.; Durães, D.; and Machado, J. In International Conference on Computational Science and Its Applications, pages 68–80, 2022. Springer International Publishing Cham
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A bibliometric review and analysis of traffic lights optimization. Witeck, G. R; Rocha, A. M. A.; Silva, G. O; Silva, A.; Durães, D.; and Machado, J. In International Conference on Computational Science and Its Applications, pages 43–54, 2022. Springer International Publishing Cham
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Predicting the survival of primary biliary cholangitis patients. Ferreira, D.; Neto, C.; Lopes, J.; Duarte, J.; Abelha, A.; and Machado, J. Applied Sciences, 12(16): 8043. 2022.
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Comparison of different deployment approaches of FPGA-based hardware accelerator for 3d object detection models. Pereira, P.; Linhares Silva, A.; Machado, R.; Silva, J.; Durães, D.; Machado, J.; Novais, P.; Monteiro, J.; Melo-Pinto, P.; and Fernandes, D. In EPIA Conference on Artificial Intelligence, pages 285–296, 2022. Springer International Publishing Cham
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Survey for big data platforms and resources management for smart cities. Alves, C.; Chaves, A.; Rodrigues, C.; Ribeiro, E.; Silva, A.; Durães, D.; Machado, J.; and Novais, P. In International Conference on Hybrid Artificial Intelligence Systems, pages 393–404, 2022. Springer International Publishing Cham
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A comparison of automated time series forecasting tools for smart cities. Pereira, P. J.; Costa, N.; Barros, M.; Cortez, P.; Durães, D.; Silva, A.; and Machado, J. In EPIA Conference on Artificial Intelligence, pages 551–562, 2022. Springer International Publishing Cham
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Improving the effectiveness of heart disease diagnosis with machine learning. Oliveira, C.; Sousa, R.; Peixoto, H.; and Machado, J. In International Conference on Practical Applications of Agents and Multi-Agent Systems, pages 222–231, 2022. Springer International Publishing Cham
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Machine Learning applied to health information exchange. Miranda, F.; Sousa, A. R.; Duarte, J.; Abelha, A. C.; and Machado, J. International Journal of Reliable and Quality E-Healthcare (IJRQEH), 11(1): 1–17. 2022.
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Openehr based bariatric surgery follow-up. Afonso, A.; Alvaréz, C.; Ferreira, D.; Oliveira, D.; Peixoto, H.; Abelha, A.; and Machado, J. Procedia Computer Science, 210: 271–276. 2022.
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OpenEHR modelling applied to complementary diagnostics requests. Oliveira, D.; Santos, A.; Braga, D.; Silva, I.; Sousa, R.; Abelha, A.; and Machado, J. Procedia Computer Science, 210: 265–270. 2022.
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The COVID-19 influence on the desire to stay at home: a Big Data architecture. Sousa, R.; Oliveira, D.; Carneiro, A.; Pinto, L.; Pereira, A.; Peixoto, A.; Peixoto, H.; and Machado, J. In International Conference on Intelligent Data Engineering and Automated Learning, pages 199–210, 2022. Springer International Publishing Cham
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Sustainable and social energy on smart cities: systematic review. Sousa, R.; Lopes, D.; Silva, A.; Durães, D.; Peixoto, H.; Machado, J.; and Novais, P. In International Conference on Advanced Research in Technologies, Information, Innovation and Sustainability, pages 72–84, 2022. Springer Nature Switzerland Cham
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Medical recommendation system based on daily clinical reports: A proposed NLP approach for emergency departments. Sousa, R.; Oliveira, D.; Durães, D.; Neto, C.; and Machado, J. In International Conference on Innovative Techniques and Applications of Artificial Intelligence, pages 315–320, 2022. Springer International Publishing Cham
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A comprehensive study on personal and medical information to predict diabetes. Pimenta, N.; Sousa, R.; Peixoto, H.; and Machado, J. In International Symposium on Distributed Computing and Artificial Intelligence, pages 197–207, 2022. Springer International Publishing Cham
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Traffic light optimization of an intersection: a Portuguese Case Study. Silva, G. O; Rocha, A. M. A.; Witeck, G. R; Silva, A.; Durães, D.; and Machado, J. In International Conference on Optimization, Learning Algorithms and Applications, pages 202–214, 2022. Springer International Publishing Cham
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Crowdsensing on smart cities: A systematic review. Miranda, R.; Ramos, V.; Ribeiro, E.; Rodrigues, C.; Silva, A.; Durães, D.; Analide, C.; Abelha, A.; and Machado, J. In Ibero-American Conference on Artificial Intelligence, pages 103–106, 2022. Springer International Publishing Cham
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Evaluation of transfer learning to improve arrhythmia classification for a small ECG database. Montenegro, L.; Peixoto, H.; and Machado, J. M In Ibero-American Conference on Artificial Intelligence, pages 231–242, 2022. Springer International Publishing Cham
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Clustering of COVID-19 vaccination recipients in DKI Jakarta using the K-medoids algorithm. Trisuciana, F. M.; Witarsyah, D.; Sutoyo, E.; and Machado, J. M. In 2022 International Conference Advancement in Data Science, E-learning and Information Systems (ICADEIS), pages 01–07, 2022. IEEE
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Medical Diagnosis Classification Using WEKA. Machado, J.; Lori, N.; Coimbra, A.; Miranda, F.; and Abelha, A. Human Interaction & Emerging Technologies (IHIET-AI 2022): Artificial Intelligence & Future Applications, 23(23). 2022.
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Prediction models applied to lung cancer using Data Mining. Sousa, R.; Sousa, R.; Peixoto, H.; and Machado, J. In International Symposium on Intelligent and Distributed Computing, pages 195–200, 2022. Springer International Publishing Cham
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Innovations in Mechatronics Engineering II. Machado, J.; Soares, F.; Trojanowska, J.; Yildirim, S.; Vojtěšek, J.; Rea, P.; Gramescu, B.; and Hrybiuk, O. O 2022.
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Recommendation of medical exams to support clinical diagnosis based on patient’s symptoms. Neto, C.; Ferreira, D.; Cunha, H.; Pires, M.; Marques, S.; Sousa, R.; and Machado, J. In International Conference on AI-assisted Solutions for COVID-19 and Biomedical Applications in Smart Cities, pages 91–100, 2022. Springer Nature Switzerland Cham
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COVID-19 cases and their impact on global air traffic. Sousa, R.; Gomes, J.; Gomes, J.; Arcipreste, M.; Guimarães, P.; Oliveira, D.; and Machado, J. In International Conference on AI-assisted Solutions for COVID-19 and Biomedical Applications in Smart Cities, pages 16–27, 2022. Springer Nature Switzerland Cham
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The impact of contingency measures on the COVID-19 reproduction rate. Sousa, R.; Oliveira, D.; Hak, F.; and Machado, J. In International Conference on AI-assisted Solutions for COVID-19 and Biomedical Applications in Smart Cities, pages 28–37, 2022. Springer Nature Switzerland Cham
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Review for augmented reality shopping application for mobile systems. Alves, C.; Machado, J.; and Reis, J. L. In International Conference on Marketing and Technologies, pages 623–634, 2022. Springer Nature Singapore Singapore
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Big Data Analytics and Artificial Intelligence in the Healthcare Industry. Machado, J.; Peixoto, H.; and Sousa, R. 2022.
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  2021 (33)
In-vehicle violence detection in carpooling: a brief survey towards a general surveillance system. Marcondes, F. S; Durães, D.; Gonçalves, F.; Fonseca, J.; Machado, J.; and Novais, P. In Distributed computing and artificial intelligence, 17th international conference, pages 211–220, 2021. Springer International Publishing
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Detection violent behaviors: a survey. Durães, D.; Marcondes, F. S; Gonçalves, F.; Fonseca, J.; Machado, J.; and Novais, P. In Ambient Intelligence–Software and Applications: 11th International Symposium on Ambient Intelligence, pages 106–116, 2021. Springer International Publishing
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Overcoming challenges in healthcare interoperability regulatory compliance. Castanheira, A.; Peixoto, H.; and Machado, J. In Ambient Intelligence–Software and Applications: 11th International Symposium on Ambient Intelligence, pages 44–53, 2021. Springer International Publishing
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A Proof of Concept of a Business Intelligence Platform to Support the Decision-Making Process of Health Professionals in Waiting Lists. Esteves, M.; Esteves, M.; Abelha, A.; and Machado, J. In Research Anthology on Decision Support Systems and Decision Management in Healthcare, Business, and Engineering, pages 1015–1034. IGI Global, 2021.
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Different scenarios for the prediction of hospital readmission of diabetic patients. Neto, C.; Senra, F.; Leite, J.; Rei, N.; Rodrigues, R.; Ferreira, D.; and Machado, J. Journal of Medical Systems, 45: 1–9. 2021.
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Data mining for cardiovascular disease prediction. Martins, B.; Ferreira, D.; Neto, C.; Abelha, A.; and Machado, J. Journal of medical systems, 45: 1–8. 2021.
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Based Electronics for Brain-Machine Interface Home Supercomputer. Lori, N.; Pais-Vieira, M.; Curado, M.; and Machado, J. In Intelligent Human Systems Integration 2021: Proceedings of the 4th International Conference on Intelligent Human Systems Integration (IHSI 2021): Integrating People and Intelligent Systems, February 22-24, 2021, Palermo, Italy, pages 454–459, 2021. Springer International Publishing
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Data Mining approach to understand the association between mental disorders and unemployment. Neto, C.; Rodrigues, C.; Mendonça, E.; Sartori, L.; de Pinho, R.; Ferreira, D.; Abelha, A.; and Machado, J. In Information Technology and Systems: ICITS 2021, Volume 2, pages 70–79, 2021. Springer International Publishing
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Data Mining for the Prediction of Fetal Malformation Through Cardiotocography Data. Nogueira, M.; Ferreira, D.; Neto, C.; Abelha, A.; and Machado, J. In Information Technology and Systems: ICITS 2021, Volume 2, pages 60–69, 2021. Springer International Publishing
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Diagnosis of Diabetic Retinopathy Using Data Mining Classification Techniques. Abreu, A.; Ferreira, D.; Neto, C.; Abelha, A.; and Machado, J. In International Conference on Advances in Digital Science, pages 198–209, 2021. Springer International Publishing Cham
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Health information systems (his) privacy restrictions for gdpr: Assessing initial impacts perceived by patients and healthcare professionals. Carvalho, M.; Bandiera-Paiva, P.; Marques, E.; and Machado, J. M. International Journal of Reliable and Quality E-Healthcare (IJRQEH), 10(2): 4–16. 2021.
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Prediction models for Polycystic Ovary Syndrome using data mining. Neto, C.; Silva, M.; Fernandes, M.; Ferreira, D.; and Machado, J. In International Conference on Advances in Digital Science, pages 210–221, 2021. Springer International Publishing Cham
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Step towards predicting patient length of stay in intensive care units. Neto, C.; Pontes, G.; Domente, A.; Reinolds, F.; Costa, J.; Ferreira, D.; and Machado, J. In World Conference on Information Systems and Technologies, pages 287–297, 2021. Springer International Publishing Cham
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OpenEHR modeling: improving clinical records during the COVID-19 pandemic. Oliveira, D.; Miranda, R.; Leuschner, P.; Abreu, N.; Santos, M. F.; Abelha, A.; and Machado, J. Health and technology, 11(5): 1109–1118. 2021.
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Development of FHIR based web applications for appointment management in healthcare. Chaves, A.; Guimarães, T.; Duarte, J.; Peixoto, H.; Abelha, A.; and Machado, J. Procedia Computer Science, 184: 917–922. 2021.
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Steps towards an healthcare information model based on openehr. Oliveira, D.; Miranda, R.; Hak, F.; Abreu, N.; Leuschner, P.; Abelha, A.; and Machado, J. Procedia Computer Science, 184: 893–898. 2021.
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Software tools for conducting real-time information processing and visualization in industry: An up-to-date review. Sousa, R.; Miranda, R.; Moreira, A.; Alves, C.; Lori, N.; and Machado, J. Applied Sciences, 11(11): 4800. 2021.
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Data mining approach to classify cases of lung cancer. Vieira, E.; Ferreira, D.; Neto, C.; Abelha, A.; and Machado, J. In World Conference on Information Systems and Technologies, pages 511–521, 2021. Springer International Publishing Cham
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Modelling a deep learning framework for recognition of human actions on video. Santos, F.; Durães, D.; Marcondes, F.; Gomes, M.; Gonçalves, F.; Fonseca, J.; Wingbermuehle, J.; Machado, J.; and Novais, P. In World Conference on Information Systems and Technologies, pages 104–112, 2021. Springer International Publishing Cham
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Hierarchical temporal memory theory approach to stock market time series forecasting. Sousa, R.; Lima, T.; Abelha, A.; and Machado, J. Electronics, 10(14): 1630. 2021.
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A CRISP-DM Approach for Predicting Liver Failure Cases: An Indian Case Study. Cunha, A. F; Ferreira, D.; Neto, C.; Abelha, A.; and Machado, J. In Advances in Artificial Intelligence, Software and Systems Engineering: Proceedings of the AHFE 2021 Virtual Conferences on Human Factors in Software and Systems Engineering, Artificial Intelligence and Social Computing, and Energy, July 25-29, 2021, USA, pages 156–164, 2021. Springer International Publishing
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Comparison of transfer learning behaviour in violence detection with different public datasets. Durães, D.; Santos, F.; Marcondes, F. S; Lange, S.; and Machado, J. In Progress in Artificial Intelligence: 20th EPIA Conference on Artificial Intelligence, EPIA 2021, Virtual Event, September 7–9, 2021, Proceedings 20, pages 290–298, 2021. Springer International Publishing
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Efficient violence detection using transfer learning. Santos, F.; Durães, D.; Marcondes, F. S; Lange, S.; Machado, J.; and Novais, P. In International Conference on Practical Applications of Agents and Multi-Agent Systems, pages 65–75, 2021. Springer International Publishing Cham
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Contactless human-computer interaction using a Deep Neural Network Pipeline for real-time video interpretation and classification. Sousa, R.; Jesus, T.; Alves, V.; and Machado, J. In International Conference on Advanced Research in Technologies, Information, Innovation and Sustainability, pages 209–220, 2021. Springer International Publishing Cham
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In-car violence detection based on the audio signal. Santos, F.; Durães, D.; Marcondes, F. S; Hammerschmidt, N.; Lange, S.; Machado, J.; and Novais, P. In International conference on intelligent data engineering and automated learning, pages 437–445, 2021. Springer International Publishing Cham
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Quantum field theory representation in quantum computation. Lori, N.; Neves, J.; and Machado, J. Applied Sciences, 11(23): 11272. 2021.
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International Journal of Advances in Data and Information Systems Vol. 2, No. 1, April 2021. Sutoyo, E.; Yanto, I. T. R.; Machado, J.; Yahya, B. N.; Hamid, S.; Arshah, R. A.; Rifai, A. P.; Witarsyah, D.; Saadi, Y.; Saputra, M.; and others . 2021.
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Sentiment analysis of social media twitter with case of large scale social restriction in Jakarta using support vector machine algorithm. Saragih, P. S.; Witarsyah, D.; Hamami, F.; and Machado, J. M. In 2021 International Conference Advancement in Data Science, E-learning and Information Systems (ICADEIS), pages 1–6, 2021. IEEE
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A comparative study of data mining techniques applied to renal-cell carcinomas. Duarte, A.; Peixoto, H.; and Machado, J. In EAI International Conference on IoT Technologies for HealthCare, pages 53–62, 2021. Springer International Publishing Cham
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Predicting diabetes disease in the female adult population, using data mining. Marques, C.; Ramos, V.; Peixoto, H.; and Machado, J. In EAI International Conference on IoT Technologies for HealthCare, pages 63–73, 2021. Springer International Publishing Cham
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Hierarchical Temporal Memory Theory Approach to Stock Market Time Series Forecasting. Electronics 2021, 10, 1630. Sousa, R; Lima, T; Abelha, A; and Machado, J Advances in Public Transport Platform for the Development of Sustainability Cities,59. 2021.
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Big Data in Healthcare Institutions: An Architecture Proposal. Lopes, J.; Sousa, R.; Abelha, A.; and Machado, J. In National Conference on Big Data Technology and Applications, pages 297–311, 2021. Springer Nature Switzerland Cham
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Distributed Computing and Artificial Intelligence, Volume 2: Special Sessions 18th International Conference. González, S. R.; Machado, J. M.; González-Briones, A.; Wikarek, J.; Loukanova, R.; Katranas, G.; and Casado-Vara, R. 2021.
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  2020 (18)
Applied Pervasive Patient Timeline in Intensive Care Units. Braga, A.; Portela, F.; Santos, M. F.; da Silva Abelha, A.; Machado, J.; Silva, Á.; and Rua, F. In Hospital Management and Emergency Medicine: Breakthroughs in Research and Practice, pages 567–579. IGI Global, 2020.
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Step towards interoperability in nursing practice. Oliveira, D.; Duarte, J.; Abelha, A.; and Machado, J. In Data Analytics in Medicine: Concepts, Methodologies, Tools, and Applications, pages 865–878. IGI Global Scientific Publishing, 2020.
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The development of a business intelligence web application to support the decision-making process regarding absenteeism in the workplace. Oliveira, S.; Esteves, M.; Cernadas, R.; Abelha, A.; and Machado, J. In International Conference on Information Technology & Systems, pages 104–113, 2020. Springer International Publishing Cham
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Intelligent support system for the provision of inpatient care. Faria, S.; Oliveira, D.; Abelha, A.; and Machado, J. In Information Technology and Systems: Proceedings of ICITS 2020, pages 364–374, 2020. Springer International Publishing
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The clinical informatization in Portugal: an approach to the National Health Service certification. Pereira, S.; Silva, L.; Machado, J.; and Cabral, A. International Journal of Reliable and Quality E-Healthcare (IJRQEH), 9(2): 34–47. 2020.
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How to assess the acceptance of an Electronic Health Record system?. Fernandes, C.; Portela, F.; Santos, M. F.; Machado, J.; and Abelha, A. In Trends and Innovations in Information Systems and Technologies: Volume 3 8, pages 466–475, 2020. Springer International Publishing
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Prediction of length of stay for stroke patients using artificial neural networks. Neto, C.; Brito, M.; Peixoto, H.; Lopes, V.; Abelha, A.; and Machado, J. In Trends and Innovations in Information Systems and Technologies: Volume 1 8, pages 212–221, 2020. Springer International Publishing
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Step towards monitoring intelligent agents in healthcare information systems. Sousa, R.; Ferreira, D.; Abelha, A.; and Machado, J. In Trends and Innovations in Information Systems and Technologies: Volume 3 8, pages 510–519, 2020. Springer International Publishing
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Recommendation system using autoencoders. Ferreira, D.; Silva, S.; Abelha, A.; and Machado, J. Applied Sciences, 10(16): 5510. 2020.
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Review of trends in automatic human activity recognition using synthetic audio-visual data. Jesus, T.; Duarte, J.; Ferreira, D.; Durães, D.; Marcondes, F.; Santos, F.; Gomes, M.; Novais, P.; Gonçalves, F.; Fonseca, J.; and others In International conference on intelligent data engineering and automated learning, pages 549–560, 2020. Springer International Publishing Cham
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Integrating a data mining engine into recommender systems. Peixoto, V.; Peixoto, H.; and Machado, J. In International Conference on Intelligent Data Engineering and Automated Learning, pages 209–220, 2020. Springer International Publishing Cham
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Improving performance of recommendation system architecture. Cunha, G.; Peixoto, H.; and Machado, J. In International Conference on Intelligent Data Engineering and Automated Learning, pages 495–506, 2020. Springer International Publishing Cham
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Review of trends in automatic human activity recognition in vehicle based in synthetic data. Coimbra, A.; Neto, C.; Ferreira, D.; Duarte, J.; Oliveira, D.; Hak, F.; Gonçalves, F.; Fonseca, J.; Lori, N.; Abelha, A.; and others In International Conference on Intelligent Data Engineering and Automated Learning, pages 368–376, 2020. Springer International Publishing Cham
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Bridging the gap of neuroscience, philosophy, and evolutionary biology to propose an approach to machine learning of human-like ethics. Lori, N.; Ferreira, D.; Alves, V.; and Machado, J. In International Conference on Intelligent Data Engineering and Automated Learning, pages 309–321, 2020. Springer International Publishing Cham
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Anticipating maintenance in telecom installation processes. Costa, D.; Pereira, C.; Peixoto, H.; and Machado, J. In International Conference on Intelligent Data Engineering and Automated Learning, pages 322–334, 2020. Springer International Publishing Cham
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Prediction of mental illness associated with unemployment using data mining. Goncalves, C.; Ferreira, D.; Neto, C.; Abelha, A.; and Machado, J. Procedia Computer Science, 177: 556–561. 2020.
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Management of a pandemic based on an openehr approach. Oliveira, D.; Miranda, R.; Abreu, N.; Leuschner, P.; Abelha, A.; Santos, M.; and Machado, J. Procedia Computer Science, 177: 522–527. 2020.
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Data mining to predict early stage chronic kidney disease. Pinto, A.; Ferreira, D.; Neto, C.; Abelha, A.; and Machado, J. Procedia Computer Science, 177: 562–567. 2020.
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  2019 (20)
Applied business intelligence in surgery waiting lists management. Neto, C.; Dias, I.; Santos, M.; Peixoto, H.; and Machado, J. In Healthcare Policy and Reform: Concepts, Methodologies, Tools, and Applications, pages 1580–1594. IGI global, 2019.
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Business intelligence for nutrition therapy. Reis, R.; Mendonça, A.; Ferreira, D. L. A.; Peixoto, H.; and Machado, J. In Healthcare Policy and Reform: Concepts, Methodologies, Tools, and Applications, pages 459–474. IGI Global, 2019.
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Predicting the length of hospital stay after surgery for perforated peptic ulcer. Machado, J.; Cardoso, A. C.; Gomes, I.; Silva, I.; Lopes, V.; Peixoto, H.; and Abelha, A. In Information Technology and Systems: Proceedings of ICITS 2019, pages 569–579, 2019. Springer International Publishing
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Predicting death and morbidity in perforated peptic ulcer. Peixoto, H.; Correia e Silva, L.; Pereira, S.; Jesus, T.; Lopes, V.; Abelha, A.; and Machado, J. In Information Technology and Systems: Proceedings of ICITS 2019, pages 558–568, 2019. Springer International Publishing
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Smart mobile computing in pregnancy care. Fonseca, F.; Peixoto, H.; Braga, J.; Machado, J. M.; and Abelha, A. . 2019.
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Predicting postoperative complications for gastric cancer patients using data mining. Peixoto, H.; Francisco, A.; Duarte, A.; Esteves, M.; Oliveira, S.; Lopes, V.; Abelha, A.; and Machado, J. In Intelligent Technologies for Interactive Entertainment: 10th EAI International Conference, INTETAIN 2018, Guimarães, Portugal, November 21-23, 2018, Proceedings 10, pages 37–46, 2019. Springer International Publishing
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Improving healthcare delivery with new interactive visualization methods. Neto, C.; Ferreira, D.; Abelha, A.; and Machado, J. In New Knowledge in Information Systems and Technologies: Volume 3, pages 537–546, 2019. Springer International Publishing
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Predicting low birth weight babies through data mining. Loreto, P.; Peixoto, H.; Abelha, A.; and Machado, J. In New Knowledge in Information Systems and Technologies: Volume 3, pages 568–577, 2019. Springer International Publishing
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Adaptive business intelligence in healthcare-A platform for optimising surgeries. Ferreira, J.; Portela, F.; Machado, J.; and Santos, M. F. In New Knowledge in Information Systems and Technologies: Volume 3, pages 611–620, 2019. Springer International Publishing
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Application of data mining for the prediction of prophylactic measures in patients at risk of deep vein thrombosis. Cruz, M.; Esteves, M.; Peixoto, H.; Abelha, A.; and Machado, J. In New Knowledge in Information Systems and Technologies: Volume 3, pages 557–567, 2019. Springer International Publishing
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Steps Towards Online Monitoring Systems and Interoperability. Ferreira, D.; Neto, C.; Machado, J.; and Abelha, A. In New Knowledge in Information Systems and Technologies: Volume 3, pages 527–536, 2019. Springer International Publishing
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A proof of concept of a mobile health application to support professionals in a Portuguese nursing home. Esteves, M.; Esteves, M.; Abelha, A.; and Machado, J. Sensors, 19(18): 3951. 2019.
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Prediction of mortality and occurrence of complications for gastric cancer patients. de Brito, M. A.; Neto, C.; Abelha, A.; and Machado, J. In 2019 International Conference in Engineering Applications (ICEA), pages 1–6, 2019. IEEE
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Intelligent nutrition in healthcare and continuous care. Miranda, R.; Ferreira, D.; Abelha, A.; and Machado, J. In 2019 International Conference in Engineering Applications (ICEA), pages 1–6, 2019. IEEE
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A comparative study of optical character recognition in health information system. Ribeiro, M. R.; Jùlio, D.; Abelha, V.; Abelha, A.; and Machado, J. In 2019 International Conference in Engineering Applications (ICEA), pages 1–5, 2019. IEEE
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Application of data mining for the prediction of mortality and occurrence of complications for gastric cancer patients. Neto, C.; Brito, M.; Lopes, V.; Peixoto, H.; Abelha, A.; and Machado, J. Entropy, 21(12): 1163. 2019.
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Incremental algorithm for association rule mining under dynamic threshold. Aqra, I.; Abdul Ghani, N.; Maple, C.; Machado, J.; and Sohrabi Safa, N. Applied Sciences, 9(24): 5398. 2019.
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A Mobile Health Application to Assist Health Professionals: A Case Study in a Portuguese Nursing Home. Esteves, M.; Esteves, M.; Abelha, A.; and Machado, J. In ICT4AWE, pages 338–345, 2019.
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The 3rd International Workshop on Data Science for Intelligent Decision Support (DS4IDS. Portela, F.; Santos, M. F.; Govardhan, A; Amato, A.; Azevedo, A.; Kobusińska, A.; Abelha, A.; Zhu, B.; Koutsomitropoulos, D.; Messina, F.; and others . 2019.
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A mobile health application to assist health professionals: a case study in a portuguese nursing home. Machado, J. M.; Abelha, A.; Esteves, M. A.; and Esteves, M. . 2019.
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  2018 (16)
Mobile collaborative augmented reality and business intelligence: A system to support elderly people’s self-care. Esteves, M.; Miranda, F.; Machado, J.; and Abelha, A. In Trends and Advances in Information Systems and Technologies: Volume 3 6, pages 195–204, 2018. Springer International Publishing
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Step towards a pervasive data system for intensive care medicine. Gonçalves, P.; Portela, F.; Santos, M. F.; Machado, J.; Abelha, A.; and Rua, F. In Trends and Advances in Information Systems and Technologies: Volume 3 6, pages 352–362, 2018. Springer International Publishing
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New approach to an openEHR introduction in a Portuguese healthcare facility. Oliveira, D.; Coimbra, A.; Miranda, F.; Abreu, N.; Leuschner, P.; Machado, J.; and Abelha, A. In Trends and Advances in Information Systems and Technologies: Volume 3 6, pages 205–211, 2018. Springer International Publishing
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Pervasive business intelligence in misericordias–A Portuguese case study. Coelho, D.; Guimarães, T.; Portela, F.; Santos, M. F.; Machado, J.; and Abelha, A. In Information and Communication Technologies for Ageing Well and e-Health: Third International Conference, ICT4AWE 2017, Porto, Portugal, April 28-29, 2017, Revised Selected Papers 3, pages 93–106, 2018. Springer International Publishing
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A deep-big data approach to health care in the AI age. Neves, J.; Vicente, H.; Esteves, M.; Ferraz, F.; Abelha, A.; Machado, J.; Machado, J.; Neves, J.; Ribeiro, J.; and Sampaio, L. Mobile Networks and Applications, 23: 1123–1128. 2018.
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Predictive data mining in nutrition therapy. Ferreira, D.; Peixoto, H.; Machado, J.; and Abelha, A. In 2018 13th APCA International Conference on Automatic Control and Soft Computing (CONTROLO), pages 137–142, 2018. IEEE
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Step towards progressive web development in obstetrics. Loreto, P.; Braga, J.; Peixoto, H.; Machado, J.; and Abelha, A. Procedia Computer Science, 141: 525–530. 2018.
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Data mining for prediction of length of stay of cardiovascular accident inpatients. Silva, C.; Oliveira, D.; Peixoto, H.; Machado, J.; and Abelha, A. In Digital Transformation and Global Society: Third International Conference, DTGS 2018, St. Petersburg, Russia, May 30–June 2, 2018, Revised Selected Papers, Part I 3, pages 516–527, 2018. Springer International Publishing
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Data mining in urgency department: medical specialty discharge prediction. Prata, M.; Peixoto, H.; Machado, J.; and Abelha, A. ISC'2018,28. 2018.
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Iron Value Classification in Patients Undergoing Continuous Ambulatory Peritoneal Dialysis using Data Mining. Peixoto, C.; Peixoto, H.; Machado, J.; Abelha, A.; and Santos, M. F. In ICT4AWE, pages 285–290, 2018.
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Mobile Computing in Patient Relationship Management–A Case Study. Moreira, P.; Oliveira, D.; Miranda, F.; Abelha, A.; and Machado, J. ISC'2018,67. 2018.
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Sistema inteligente de apoio à decisão e monitorização de doentes crı́ticos em tempo-real. da Silva Portela, C. F.; Vieira Torres dos Santos, M. F.; da Silva Abelha, A. C.; Machado, J. M.; Moreira Silva, Á.; and Rua Martins, F. Portuguese Journal of Public Health, 35(3): 179–192. 2018.
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Improving the Codification of Hospital Discharges with an ICD-9-CM Single-page Application and its Transition to ICD-10-CM/PCS. Coimbra, C.; Esteves, M.; Miranda, F.; Portela, F.; Santos, M. F.; Machado, J.; and Abelha, A. International Journal on Advances in Life Sciences, 10(1&2): 23–30. 2018.
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Cloud computing environments for simulation of adaptable standardized work and electronic work instructions in industry 4.0. Silva, F.; Martins, R.; Gomes, M.; Silva, A.; Machado, J.; Novais, P.; and Analide, C. In 16th International Industrial Simulation Conference, pages 49–53, 2018.
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Step towards interoperability in nursing practice. Oliveira, D.; Duarte, J.; Abelha, A.; and Machado, J. International Journal of Public Health Management and Ethics (IJPHME), 3(1): 26–37. 2018.
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Waiting Time Screening in Healthcare. Ferraz, F.; Abelha, A.; Machado, J.; Machado, J.; and Neves, J. Big Data Technologies and Applications,124. 2018.
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  2017 (34)
A case based methodology for problem solving aiming at knee osteoarthritis detection. Esteves, M.; Vicente, H.; Machado, J.; Alves, V.; and Neves, J. In Recent Advances on Soft Computing and Data Mining: The Second International Conference on Soft Computing and Data Mining (SCDM-2016), Bandung, Indonesia, August 18-20, 2016 Proceedings Second, pages 274–284, 2017. Springer International Publishing
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Step towards pervasive technology assessment in intensive medicine. Portela, F.; Santos, M. F.; Machado, J.; Abelha, A.; and Rua, F. International Journal of Reliable and Quality E-Healthcare (IJRQEH), 6(2): 1–16. 2017.
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Data Quality and Critical Events in Ventilation: An Intensive Care study. Portela, F.; Santos, M. F.; Abelha, A.; Machado, J.; and Rua, F. International Journal of Reliable and Quality E-Healthcare (IJRQEH), 6(2): 40–48. 2017.
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A case-based approach to colorectal cancer detection. Morgado, P.; Vicente, H.; Abelha, A.; Machado, J.; Neves, J.; and Neves, J. In Information Science and Applications 2017: ICISA 2017 8, pages 433–442, 2017. Springer Singapore
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Good practices in Local Government-A first overview of Portuguese reality. Carvalhosa, P; Portela, F; Machado, J; Santos, M.; and Abelha, A In IOP Conference Series: Materials Science and Engineering, volume 185, pages 012002, 2017. IOP Publishing
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Magni-a framework for developing context-aware mobile applications. Queirós, R.; Portela, F.; and Machado, J. In Recent Advances in Information Systems and Technologies: Volume 3 5, pages 417–426, 2017. Springer International Publishing
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Pervasiveness in digital marketing–a global overview. Carvalhosa, P.; Portela, F.; Santos, M. F.; Abelha, A.; and Machado, J. Recent Advances in Information Systems and Technologies: Volume 3 5,391–398. 2017.
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An ontology for mapping cerebral death. Silva, A.; Portela, F.; Santos, M. F.; Abelha, A.; and Machado, J. In Recent Advances in Information Systems and Technologies: Volume 3 5, pages 305–311, 2017. Springer International Publishing
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An agent-based RFID monitoring system for healthcare. Marins, F.; Cardoso, L.; Esteves, M.; Machado, J.; and Abelha, A. In Recent Advances in Information Systems and Technologies: Volume 3 5, pages 407–416, 2017. Springer International Publishing
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Business intelligence platform for nosocomial infection incidence. Machado, J.; Silva, E.; and Abelha, A. Indian Journal of Science and Technology, 10(10). 2017.
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Categorize readmitted patients in intensive medicine by means of clustering data mining. Veloso, R.; Portela, F.; Santos, M. F.; Machado, J.; da Silva Abelha, A.; Rua, F.; and Silva, Á. International Journal of E-Health and Medical Communications (IJEHMC), 8(3): 22–37. 2017.
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An online-processing critical patient monitoring system-an interoperability overview. Portela, F.; Miranda, F.; Santos, M. F.; Abelha, A.; and Machado, J. Computer Science and Information Systems, 14(2): 491–515. 2017.
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Understanding stroke in dialysis and chronic kidney disease. Rodrigues, M.; Peixoto, H.; Esteves, M.; Machado, J.; and others Procedia computer science, 113: 591–596. 2017.
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Step towards prediction of perineal tear. Fonseca, F.; Peixoto, H.; Miranda, F.; Machado, J.; and Abelha, A. Procedia computer science, 113: 565–570. 2017.
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Predicting the need of neonatal resuscitation using data mining. Morais, A.; Peixoto, H.; Coimbra, C.; Abelha, A.; and Machado, J. Procedia computer science, 113: 571–576. 2017.
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Comparison of two control programs of the VVER-1000 nuclear power unit using regression data mining models. Foshch, T.; Machado, J; Portela, F.; Maksimov, M.; and Maksimova, О Ядерна та радіаційна безпека, (3): 11–17. 2017.
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Knowledge discovery from surgical waiting lists. Neto, C.; Peixoto, H.; Abelha, V.; Abelha, A.; and Machado, J. Procedia Computer Science, 121: 1104–1111. 2017.
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Business Intelligence for Cardiovascular Disease Assessment. Silva, C.; Pereira, J.; Costa, L.; Peixoto, H.; Machado, J.; and Abelha, A. In 2017 5th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW), pages 186–193, 2017. IEEE
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Improving maternity care with business intelligence. Loreto, P.; Fonseca, F.; Morais, A.; Peixoto, H.; Abelha, A.; and Machado, J. In 2017 5th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW), pages 170–177, 2017. IEEE
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Continuous Ambulatory Peritoneal Dialysis: Business Intelligence Applied to Patient Monitoring: CAPD Study and Statistics. Peixoto, C.; Brito, C.; Fontainhas, M.; Abelha, A.; Peixoto, H.; and Machado, J. In 2017 5th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW), pages 178–185, 2017. IEEE
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Improving nursing practice through interoperability and intelligence. Oliveira, D.; Duarte, J.; Abelha, A.; and Machado, J. In 2017 5th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW), pages 194–199, 2017. IEEE
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A data mining approach for cardiovascular diagnosis. Pereira, J.; Peixoto, H.; Machado, J.; and Abelha, A. Open Computer Science, 7(1): 36–40. 2017.
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Machine learning in nutritional follow-up research. Reis, R.; Peixoto, H.; Machado, J.; and Abelha, A. Open Computer Science, 7(1): 41–45. 2017.
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A pervasive business intelligence solution to manage portuguese misericordia. Coelho, D.; Portela, F.; Santos, M. F.; Machado, J.; and Abelha, A. In International Conference on Information and Communication Technologies for Ageing Well and e-Health, volume 2, pages 117–123, 2017. SCITEPRESS
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Intelligent platform for supervision and production activity control in real time. Vieira, G. G; Varela, M. L.; Putnik, G. D; and Machado, J. In Advances in Manufacturing, pages 151–159. Springer International Publishing Cham, 2017.
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Waiting time screening in healthcare. Neves, J.; Vicente, H.; Esteves, M.; Ferraz, F.; Abelha, A.; Machado, J.; Machado, J.; and Neves, J. In International Conference on Big Data Technologies and Applications, pages 124–131, 2017. Springer International Publishing Cham
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Evaluating the Prophylaxis of the Risk of Deep Vein Thrombosis Using Business Intelligence. Leite, A; Rodrigues, A; Cruz, M; Peixoto, H; Machado, J; and others J Health Med Informat, 8(284): 2. 2017.
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Patients’ admissions in intensive care units: a clustering overview. Ribeiro, A.; Portela, F.; Santos, M.; Abelha, A.; Machado, J.; and Rua, F. Information, 8(1): 23. 2017.
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Next-Generation Mobile and Pervasive Healthcare Solutions. Machado, J.; Abelha, A.; Santos, M. F.; and Portela, F. 2017.
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HEALTECH–HealTech: Healthcare Technology Trends. Machado, J.; and Portela, F. . 2017.
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Improving diagnosis-related groups with a computerized clinical coding tool for ICD-9-CM codification. Coimbra, C.; Esteves, M.; Miranda, F.; Portela, F.; Santos, M.; Machado, J.; and Abelha, A. In eTELEMED 2017: The Ninth International Conference on eHealth, Telemedicine, and Social Medicine, pages 33–36, 2017.
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Development of an innovative coupling system for industrial vehicles: An AGV oriented approach. Pereira, D.; Machado, J.; and Mendonça, J. P. In ASME International Mechanical Engineering Congress and Exposition, volume 58356, pages V002T02A039, 2017. American Society of Mechanical Engineers
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Real-time intelligent decision support and monitoring system of critical patients. Portela, F.; Dos Santos, M. F. V. T.; Abelha, A.; Machado, J. M.; Silva, Á. M.; and Martins, F. R. . 2017.
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A Case-Based Approach to Colorectal Cancer Detection. Machado, J. Information Science and Applications 2017: ICISA 2017, 424: 433. 2017.
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  2016 (32)
Predicting pre-triage waiting time in a maternity emergency room through data mining. Pereira, S.; Portela, F.; Santos, M. F; Machado, J.; and Abelha, A. In Smart Health: International Conference, ICSH 2015, Phoenix, AZ, USA, November 17-18, 2015. Revised Selected Papers, pages 105–117, 2016. Springer International Publishing
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Real-Time models to predict the use of vasopressors in monitored patients. Braga, A.; Portela, F.; Santos, M. F.; Abelha, A.; Machado, J.; Silva, Á.; and Rua, F. In Smart Health: International Conference, ICSH 2015, Phoenix, AZ, USA, November 17-18, 2015. Revised Selected Papers, pages 15–25, 2016. Springer International Publishing
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Applying Business Intelligence to Clinical and Healthcare Organizations. Machado, J.; and Abelha, A. 2016.
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Length of hospital stay and quality of care. Neves, J.; Abelha, V.; Vicente, H.; Neves, J.; and Machado, J. In Knowledge, Information and Creativity Support Systems: Selected Papers from KICSS’2014-9th International Conference, held in Limassol, Cyprus, on November 6-8, 2014, pages 273–287, 2016. Springer International Publishing
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Clinical business intelligence to prevent stroke accidents. Gonçalves, N.; Quintas, C.; and Machado, J. In Applying Business Intelligence to Clinical and Healthcare Organizations, pages 241–255. IGI Global Scientific Publishing, 2016.
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Applying soft computing to clinical decision support. Machado, J.; Oliveira, L.; Barreiro, L.; Pinto, S.; and Coimbra, A. In Applying business intelligence to clinical and healthcare organizations, pages 256–271. IGI Global, 2016.
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Critical events in mechanically ventilated patients. Portela, F.; Santos, M. F; Machado, J.; Abelha, A.; Silva, Á.; and Rua, F. In New Advances in Information Systems and Technologies: Volume 2, pages 589–598, 2016. Springer International Publishing
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Pervasive adaptive data acquisition gateway for critical healthcare. Oliveira, S.; Portela, F.; Santos, M. F; Machado, J.; and Abelha, A. In New Advances in Information Systems and Technologies: Volume 2, pages 567–576, 2016. Springer International Publishing
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Pervasive patient timeline for intensive care units. Braga, A.; Portela, F.; Santos, M. F; Machado, J.; Abelha, A.; Silva, Á.; and Rua, F. In New Advances in Information Systems and Technologies: Volume 2, pages 527–536, 2016. Springer International Publishing
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Predicting triage waiting time in maternity emergency care by means of data mining. Pereira, S.; Torres, L.; Portela, F.; Santos, M. F; Machado, J.; and Abelha, A. In New Advances in Information Systems and Technologies: Volume 2, pages 579–588, 2016. Springer International Publishing
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Optimization techniques to detect early ventilation extubation in intensive care units. Oliveira, P.; Portela, F.; Santos, M. F; Machado, J.; Abelha, A.; Silva, Á.; and Rua, F. In New Advances in Information Systems and Technologies: Volume 2, pages 599–608, 2016. Springer International Publishing
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Screening a case base for stroke disease detection. Neves, J.; Gonçalves, N.; Oliveira, R.; Gomes, S.; Neves, J.; Macedo, J.; Abelha, A.; Analide, C.; Machado, J.; Filipe Santos, M.; and others In Hybrid Artificial Intelligent Systems: 11th International Conference, HAIS 2016, Seville, Spain, April 18-20, 2016, Proceedings 11, pages 3–13, 2016. Springer International Publishing
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A case-based approach to nosocomial infection detection. Faria, R.; Vicente, H.; Abelha, A.; Santos, M.; Machado, J.; and Neves, J. In Artificial Intelligence and Soft Computing: 15th International Conference, ICAISC 2016, Zakopane, Poland, June 12-16, 2016, Proceedings, Part II 15, pages 159–168, 2016. Springer International Publishing
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Prediction of length of hospital stay in preterm infants a case-based reasoning view. Coimbra, A.; Vicente, H.; Abelha, A.; Filipe Santos, M; Machado, J.; Neves, J.; and Neves, J. In Intelligent Decision Technologies 2016: Proceedings of the 8th KES International Conference on Intelligent Decision Technologies (KES-IDT 2016)–Part I, pages 115–128, 2016. Springer International Publishing
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DATA MINING TO PREDICT THE USE OF VASOPRESSORS IN INTENSIVE MEDICINE PATIENTS. Portela, F.; Santos, M. F.; Abelha, A.; lvaro Silva, Ã; Rua, F.; and others Jurnal Teknologi (Sciences & Engineering), 78(6-7). 2016.
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Waiting time screening in diagnostic medical imaging–a case-based view. Esteves, M.; Vicente, H.; Gomes, S.; Abelha, A.; Filipe Santos, M; Machado, J.; Neves, J.; and Neves, J. In Data Mining and Big Data: First International Conference, DMBD 2016, Bali, Indonesia, June 25-30, 2016. Proceedings 1, pages 296–308, 2016. Springer International Publishing
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A case based approach to assess waiting time prediction at an intensive care unity. Quintas, A.; Vicente, H.; Novais, P.; Abelha, A.; Filipe Santos, M; Machado, J.; and Neves, J. In Advances in Safety Management and Human Factors: Proceedings of the AHFE 2016 International Conference on Safety Management and Human Factors, July 27-31, 2016, Walt Disney World®, Florida, USA, pages 29–39, 2016. Springer International Publishing
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Length of stay in intensive care units–a case base evaluation. Silva, A.; Vicente, H.; Abelha, A.; Santos, M F.; Machado, J.; Neves, J.; and Neves, J. In New Trends in Software Methodologies, Tools and Techniques, pages 191–202. IOS Press, 2016.
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Pervasive business intelligence: a new trend in critical healthcare. Pereira, A.; Portela, F.; Santos, M. F.; Machado, J.; and Abelha, A. Procedia Computer Science, 98: 362–367. 2016.
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Resurgery clusters in Intensive Medicine. Peixoto, R.; Portela, F.; Pinto, F.; Santos, M. F.; Machado, J.; Abelha, A.; and Rua, F. Procedia Computer Science, 98: 528–533. 2016.
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Regression models of the nuclear power unit VVER-1000 using data mining techniques. Foshch, T.; Portela, F.; Machado, J.; and Maksimov, M. Procedia Computer Science, 100: 253–262. 2016.
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Towards of a business intelligence platform to Portuguese Misericórdias. Coelho, D.; Miranda, J.; Portela, F.; Machado, J.; Santos, M. F.; and Abelha, A. Procedia Computer Science, 100: 762–767. 2016.
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A benchmarking analysis of open-source business intelligence tools in healthcare environments. Brandão, A.; Pereira, E.; Esteves, M.; Portela, F.; Santos, M. F.; Abelha, A.; and Machado, J. Information, 7(4): 57. 2016.
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Towards of automatically detecting brain death patterns through text mining. Silva, A.; Portela, F.; Santos, M. F; Machado, J.; and Abelha, A. In 2016 IEEE 18th Conference on Business Informatics (CBI), volume 2, pages 45–52, 2016. IEEE
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ISAHealth 2016 Organizing Committee. Machado, J.; Abelha, A.; Santos, M. F.; Portela, F.; Boussadi, A.; González, A. R.; Tzallas, A. T; Dourado, A.; Tripoliti, E. E; Scalzo, F.; and others . 2016.
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Special Issue on Healthcare and Pervasive Information Systems. Machado, J.; Abelha, A.; Santos, M.; and Portela, F. . 2016.
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Text Mining Models to Predict Brain Deaths Using X-rays Clinical Notes. Silva, A.; Portela, F.; Santos, M. F.; Machado, J.; and Abelha, A. In International Conference on Mining Intelligence and Knowledge Exploration, pages 153–163, 2016. Springer International Publishing Cham
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Clustering Data Mining models to identify patterns in weaning patient failures. Oliveira, S. M. C.; Portela, F.; Santos, M.; Machado, J. M.; Abelha, A.; Silva, Á.; and Rua, F. . 2016.
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Innovative mechatronic approach to redesign a punch and bind machine. Figueiredo, L.; Sousa, J.; Monteiro, L.; Mendonça, J.; and Machado, J. In ASME International Mechanical Engineering Congress and Exposition, volume 50527, pages V002T02A043, 2016. American Society of Mechanical Engineers
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Development of a medical care terminal for efficient monitoring of bedridden subjects. Pereira, F.; Carvalho, V.; Soares, F.; Machado, J.; Bezerra, K.; Silva, R.; and Matos, D. Journal of Engineering, 2016(1): 3591059. 2016.
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Patients' admissions in intensive care units: A clustering overview. Ribeiro, A.; Portela, F.; Santos, M. F.; Machado, J.; Abelha, A.; and Rua, F. In 2016 IEEE 18th Conference on Business Informatics (CBI), volume 2, pages 38–44, 2016. IEEE
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Data Mining to predict the use of Vasopressors in Intensive Medicine Patients. Braga, A.; Portela, F.; Santos, M. F.; Machado, J.; Abelha, A.; Silva, Á.; and Rua, F. Jurnal Teknologi, 78(6-7): 1–6. 2016.
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  2015 (40)
Knowledge acquisition process for intelligent decision support in critical health care. Portela, F.; Cabral, A.; Abelha, A.; Salazar, M.; Quintas, C.; Machado, J.; Neves, J.; and Santos, M. F. In Healthcare Administration: Concepts, Methodologies, Tools, and Applications, pages 270–284. IGI Global Scientific Publishing, 2015.
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A preventive action management platform in healthcare information systems. Peixoto, H.; Abelha, A.; Santos, M.; and Machado, J. In Open Source Technology: Concepts, Methodologies, Tools, and Applications, pages 447–460. IGI Global, 2015.
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Thrombophilia screening: An artificial neural network approach. Vilhena, J.; Martins, M R.; Vicente, H.; Nelas, L.; Machado, J. M.; and Neves, J. . 2015.
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Abstract computation in schizophrenia detection through artificial neural network based systems. Cardoso, L.; Marins, F.; Magalhães, R.; Marins, N.; Oliveira, T.; Vicente, H.; Abelha, A.; Machado, J.; and Neves, J. The Scientific World Journal, 2015(1): 467178. 2015.
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Predicting nosocomial infection by using data mining technologies. Silva, E.; Cardoso, L.; Portela, F.; Abelha, A.; Santos, M. F.; and Machado, J. In New Contributions in Information Systems and Technologies: Volume 2, pages 189–198, 2015. Springer International Publishing
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Information systems assessment in pathologic anatomy service. Novo, A.; Duarte, J.; Portela, F.; Abelha, A.; Santos, M. F.; and Machado, J. In New Contributions in Information Systems and Technologies: Volume 2, pages 199–209, 2015. Springer International Publishing
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Predicting plateau pressure in intensive medicine for ventilated patients. Oliveira, S.; Portela, F.; Santos, M. F.; Machado, J.; Abelha, A.; Silva, Á.; and Rua, F. In New Contributions in Information Systems and Technologies: Volume 2, pages 179–188, 2015. Springer International Publishing
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Decision Support in E-Government–A Pervasive Business Intelligence Approach: Case Study in a Local Government. Teixeira, R.; Afonso, F.; Oliveira, B.; Machado, J.; Abelha, A.; Santos, M. F.; and Portela, F. In New Contributions in Information Systems and Technologies: Volume 2, pages 155–166, 2015. Springer International Publishing
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Artificial Neural Networks in Stroke Predisposition Screening. Neves, J.; Vicente, H.; Gonçalves, N.; Oliveira, R.; Neves, J.; Abelha, A.; and Machado, J. e-Society 2015,133. 2015.
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Big data for stock market by means of mining techniques. Lima, L.; Portela, F.; Santos, M. F.; Abelha, A.; and Machado, J. In New Contributions in Information Systems and Technologies: Volume 1, pages 679–688, 2015. Springer International Publishing
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Step towards of a homemade business intelligence solution–a case study in textile industry. Carvalho, S.; Portela, F.; Santos, M. F.; Abelha, A.; and Machado, J. In New Contributions in Information Systems and Technologies: Volume 1, pages 361–370, 2015. Springer International Publishing
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An assessment of chronic kidney diseases. Neves, J.; Martins, M R.; Vicente, H.; Neves, J.; Abelha, A.; and Machado, J. In New Contributions in Information Systems and Technologies: Volume 1, pages 179–191, 2015. Springer International Publishing
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Improving quality of services in maternity care triage system. Abelha, A.; Pereira, E.; Brandão, A.; Portela, F.; Santos, M. F.; Machado, J.; and Braga, J. International Journal of E-Health and Medical Communications (IJEHMC), 6(2): 10–26. 2015.
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Logic programming and artificial neural networks in breast cancer detection. Neves, J.; Guimarães, T.; Gomes, S.; Vicente, H.; Santos, M.; Neves, J.; Machado, J.; and Novais, P. In Advances in Computational Intelligence: 13th International Work-Conference on Artificial Neural Networks, IWANN 2015, Palma de Mallorca, Spain, June 10-12, 2015. Proceedings, Part II 13, pages 211–224, 2015. Springer International Publishing
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An overview of the quality of service in bluetooth communications in healthcare. Pereira, A.; Pereira, E.; Silva, E.; Guimarães, T.; Portela, F.; Santos, M. F.; Abelha, A.; and Machado, J. In Ambient Intelligence-Software and Applications: 6th International Symposium on Ambient Intelligence (ISAmI 2015), pages 155–164, 2015. Springer International Publishing
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An evaluation of parchments' degradation a hybrid approach. Neves, J.; Machado, J. M.; Gomes, G.; Sousa, S.; Tereso, D.; Coelho, A.; Caldeira, A. T.; Pereira, A.; Candeias, A.; and Vicente, H. . 2015.
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Artificial neural networks in diagnosis of liver diseases. Neves, J.; Cunha, A.; Almeida, A.; Carvalho, A.; Neves, J.; Abelha, A.; Machado, J.; and Vicente, H. In Information Technology in Bio-and Medical Informatics: 6th International Conference, ITBAM 2015, Valencia, Spain, September 3-4, 2015, Proceedings 6, pages 71–80, 2015. Springer International Publishing
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Prediction of potential organ donation after irreversible brain damage. Torres, L.; Portela, F.; Santos, M. F.; Abelha, A.; Neves, J.; and Machado, J. . 2015.
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Big Data solutions to support Intelligent Systems and Applications. Lima, L.; Portela, F.; Santos, M. F.; Abelha, A.; and Machado, J. . 2015.
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A soft computing approach to kidney diseases evaluation. Neves, J.; Martins, M R.; Vilhena, J.; Neves, J.; Gomes, S.; Abelha, A.; Machado, J.; and Vicente, H. Journal of medical systems, 39: 1–9. 2015.
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Clustering Barotrauma Patients in ICU–A Data Mining based approach using ventilator variables. Oliveira, S.; Portela, F.; Santos, M. F; Machado, J.; Abelha, A.; Silva, Á.; and Rua, F. In Progress in Artificial Intelligence: 17th Portuguese Conference on Artificial Intelligence, EPIA 2015, Coimbra, Portugal, September 8-11, 2015. Proceedings 17, pages 122–127, 2015. Springer International Publishing
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Predicting preterm birth in maternity care by means of data mining. Pereira, S.; Portela, F.; Santos, M. F; Machado, J.; and Abelha, A. In Progress in Artificial Intelligence: 17th Portuguese Conference on Artificial Intelligence, EPIA 2015, Coimbra, Portugal, September 8-11, 2015. Proceedings 17, pages 116–121, 2015. Springer International Publishing
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Predicting the risk associated to pregnancy using data mining. Machado, J. M.; Abelha, A.; Santos, M.; Portela, F.; Pereira, E.; and Brandão, A. . 2015.
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Artificial neural networks in diabetes control. Fernandes, F.; Vicente, H.; Abelha, A.; Machado, J.; Novais, P.; and Neves, J. In 2015 Science and Information Conference (SAI), pages 362–370, 2015. IEEE
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Clustering-based approach for categorizing pregnant women in obstetrics and maternity care. Pereira, S.; Portela, F.; Santos, M. F; Machado, J.; and Abelha, A. In Proceedings of the Eighth International C* Conference on Computer Science & Software Engineering, pages 98–101, 2015.
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Intelligent decision support to predict patient barotrauma risk in intensive care units. Oliveira, S.; Portela, F.; Santos, M. F.; Machado, J.; Abelha, A.; Silva, Á.; and Rua, F. Procedia Computer Science, 64: 626–634. 2015.
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Step towards a patient timeline in intensive care units. Braga, A.; Portela, F.; Santos, M. F.; Machado, J.; Abelha, A.; Silva, Á.; and Rua, F. Procedia Computer Science, 64: 618–625. 2015.
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Predicting type of delivery by identification of obstetric risk factors through data mining. Pereira, S.; Portela, F.; Santos, M. F.; Machado, J.; and Abelha, A. Procedia Computer Science, 64: 601–609. 2015.
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Improving quality of medical service with mobile health software. Pereira, A.; Marins, F.; Rodrigues, B.; Portela, F.; Santos, M. F.; Machado, J.; Rua, F.; Silva, Á.; and Abelha, A. Procedia Computer Science, 63: 292–299. 2015.
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Step towards Multiplatform Framework for supporting Pediatric and Neonatology Care unit decision process. Guimarães, T.; Coimbra, C.; Portela, F.; Santos, M. F.; Machado, J.; and Abelha, A. Procedia Computer Science, 63: 561–568. 2015.
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Real-time decision support using data mining to predict blood pressure critical events in intensive medicine patients. Portela, F.; Santos, M. F.; Machado, J.; Abelha, A.; Rua, F.; and Silva, Á. In Ambient Intelligence for Health: First International Conference, AmIHEALTH 2015, Puerto Varas, Chile, December 1-4, 2015, Proceedings 1, pages 77–90, 2015. Springer International Publishing
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A Real-Time Intelligent System for tracking patient condition. Portela, F.; Oliveira, S.; Santos, M.; Machado, J.; and Abelha, A. In Ambient Intelligence for Health: First International Conference, AmIHEALTH 2015, Puerto Varas, Chile, December 1-4, 2015, Proceedings 1, pages 91–97, 2015. Springer International Publishing
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A case based approach to concrete deterioration assessment. Neves, J.; Gomes, G.; Machado, J. M.; and Vicente, H. . 2015.
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Towards an ontology for health complaints management. Oliveira, A.; Portela, F.; Machado, J.; Abelha, A.; Neves, J. M.; Vaz, S.; Silva, Á.; and Santos, M. F. In International Conference on Knowledge Management and Information Sharing, volume 2, pages 174–181, 2015. SCITEPRESS
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Predicting 2-way football results by means of data mining. Gomes, J.; Portela, F.; Santos, M. F.; Abelha, A.; and Machado, J. M. . 2015.
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Using domain knowledge to improve intelligent decision support in intensive medicine-a study of bacteriological infections. Veloso, R.; Portela, F.; Santos, M. F.; Silva, Á.; Rua, F.; Abelha, A.; and Machado, J. In International Conference on Agents and Artificial Intelligence, volume 2, pages 582–587, 2015. SCITEPRESS
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Preface of the" symposium on dependable mechatronic systems". Machado, J. . 2015.
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Mechatronic system for assistance on bath of bedridden elderly people. Bezerra, K.; Machado, J. M; Silva, B.; Carvalho, V.; Soares, F.; and Matos, D. In 2015 IEEE 4th Portuguese Meeting on Bioengineering (ENBENG), pages 1–4, 2015. IEEE
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Using domain knowledge to improve intelligent decision support in intensive medicine-a study of bacteriological infections. Machado, J. M.; Abelha, A.; Rua, F.; Silva, Á.; Santos, M. F.; Portela, F.; and Veloso, R. . 2015.
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Abelha, António 155, 179, 189, 199 Faria, Brı́gida Mónica 51 Afonso, Fernando 155 Farias, George de Araujo 21 Alves, Anabela Carvalho Alves, Maria Palmira 255. Amorim, J. P; Azevedo, A. I.; Boavida, J. M; Borgia, A.; Brandão, C.; Capparelli, G.; Ferreira, P. L.; Formetta, G.; Galuszka, K.; Gawdzińska, K.; and others New Contributions in Information Systems and Technologies: Volume 2, 354: 397. 2015.
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  2014 (28)
Real-time predictive analytics for sepsis level and therapeutic plans in intensive care medicine. Gonçalves, J. M.; Portela, F.; Santos, M. F; Silva, Á.; Machado, J.; Abelha, A.; and Rua, F. International Journal of Healthcare Information Systems and Informatics (IJHISI), 9(3): 36–54. 2014.
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A pervasive intelligent system for scoring MEWS and TISS-28 in intensive care. Portela, F.; Santos, M. F.; Silva, Á.; Machado, J.; Abelha, A.; and Rua, F. In The 15th International Conference on Biomedical Engineering: ICBME 2013, 4th to 7th December 2013, Singapore, pages 287–290, 2014. Springer International Publishing
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Predictive models for hospital bed management using data mining techniques. Oliveira, S.; Portela, F.; Santos, M. F; Machado, J.; and Abelha, A. In New Perspectives in Information Systems and Technologies, Volume 2, pages 407–416, 2014. Springer International Publishing
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Improving High Availability and Reliability of Health Interoperability Systems. Marins, F.; Cardoso, L.; Portela, F.; Santos, M. F; Abelha, A.; and Machado, J. In New Perspectives in Information Systems and Technologies, Volume 2, pages 207–216, 2014. Springer International Publishing
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The next generation of interoperability agents in healthcare. Cardoso, L.; Marins, F.; Portela, F.; Santos, M.; Abelha, A.; and Machado, J. International journal of environmental research and public health, 11(5): 5349–5371. 2014.
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A multi-agent platform for hospital interoperability. Cardoso, L.; Marins, F.; Portela, F.; Santos, M.; Abelha, A.; and Machado, J. In Ambient Intelligence-Software and Applications: 5th International Symposium on Ambient Intelligence, pages 127–134, 2014. Springer International Publishing
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Intelligent systems for monitoring and prevention in healthcare information systems. Marins, F.; Cardoso, L.; Portela, F.; Abelha, A.; and Machado, J. In Computational Science and Its Applications–ICCSA 2014: 14th International Conference, Guimarães, Portugal, June 30–July 3, 2014, Proceedings, Part VI 14, pages 197–211, 2014. Springer International Publishing
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Interoperability in Healthcare. Cardoso, L.; Marins, F.; Quintas, C.; Portela, F.; Santos, M.; Abelha, A.; and Machado, J. . 2014.
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Business intelligence in maternity care. Pereira, E.; Brandão, A.; Portela, C. F.; Santos, M. F.; Machado, J.; and Abelha, A. In Proceedings of the 18th International Database Engineering & Applications Symposium, pages 352–355, 2014.
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Pervasive and intelligent decision support in intensive medicine–the complete picture. Portela, F.; Santos, M. F.; Machado, J.; Abelha, A.; Silva, Á.; and Rua, F. In Information Technology in Bio-and Medical Informatics: 5th International Conference, ITBAM 2014, Munich, Germany, September 2, 2014. Proceedings 5, pages 87–102, 2014. Springer International Publishing
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Hospital bed management support using regression data mining models. Oliveira, S.; Portela, F.; Santos, M. F; Machado, J.; and Abelha, A. . 2014.
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Business Intelligence and Nosocomial Infection Decision Making. Silva, E.; Alpuim, A.; Cardoso, L.; Marins, F.; Quintas, C.; Portela, C. F.; Santos, M. F.; Machado, J.; and Abelha, A. . 2014.
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Pre-Triage Decision Support Improvement in Maternity Care by Means of Data Mining. Pereira, E.; Brandão, A.; Salazar, M.; Portela, C. F.; Santos, M. F.; Machado, J.; Abelha, A.; and Braga, J. . 2014.
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A clustering approach for predicting readmissions in intensive medicine. Veloso, R.; Portela, F.; Santos, M. F.; Silva, A.; Rua, F.; Abelha, A.; and Machado, J. Procedia Technology, 16: 1307–1316. 2014.
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An expert system for supporting Traditional Chinese Medicine diagnosis and treatment. Silva, P.; Gago, P.; Ribeiro, J. C. B.; Santos, M. F; Portela, F.; Abelha, A.; Machado, J.; and Pinto, F. Procedia Technology, 16: 1487–1492. 2014.
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Improving quality of electronic health records with SNOMED. Duarte, J.; Castro, S.; Santos, M.; Abelha, A.; and Machado, J. Procedia technology, 16: 1342–1350. 2014.
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Healthcare interoperability through intelligent agent technology. Cardoso, L.; Marins, F.; Portela, F.; Abelha, A.; and Machado, J. Procedia Technology, 16: 1334–1341. 2014.
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Managing voluntary interruption of pregnancy using data mining. Brandão, A.; Pereira, E.; Portela, F.; Santos, M. F.; Abelha, A.; and Machado, J. Procedia Technology, 16: 1297–1306. 2014.
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Systematic coronary risk evaluation through artificial neural networks based systems. Rodrigues, B.; Gomes, S.; Vicente, H.; Abelha, A.; Novais, P.; Machado, J. M.; and Neves, J. . 2014.
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Predict hourly patient discharge probability in Intensive Care Units using Data Mining. Portela, F.; Veloso, R.; Santos, M. F.; Machado, J. M.; Abelha, A.; Silva, Á.; Rua, F.; and Oliveira, S. M. C. . 2014.
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Real-time data mining models for predicting length of stay in intensive care units. Veloso, R.; Portela, F.; Santos, M.; Machado, J. M.; Abelha, A.; Silva, Á.; and Rua, F. . 2014.
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An artificial neuronal network approach to diagnosis of attention deficit hyperactivity disorder. Pereira, S.; Gomes, S.; Vicente, H.; Ribeiro, J.; Abelha, A.; Novais, P.; Machado, J. M.; and Neves, J. . 2014.
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PLATAFORMA DE MONITORIZAÇÃO E SUPORTE À DECISÂO DE DOENTES CRÍTICOS. Portela, F; Santos, M.; Machado, J; Abelha, A; Silva, A; Rua, F; and Algoritmi, C. . 2014.
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An assessment on the length of hospital stay through artificial neural networks. Abelha, V. A. P. C.; Vicente, H.; Machado, J. M.; and Neves, J. . 2014.
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Real-time Business Intelligence platform to maternity care. Brandão, A.; Pereira, E.; Portela, F.; Santos, M.; Abelha, A.; and Machado, J. In 2014 IEEE Conference on Biomedical Engineering and Sciences (IECBES), pages 379–384, 2014. IEEE
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Preventing patient cardiac arrhythmias by using data mining techniques. Portela, F.; Santos, M. F.; Silva, Á.; Rua, F.; Abelha, A.; and Machado, J. In 2014 IEEE Conference on Biomedical Engineering and Sciences (IECBES), pages 165–170, 2014. IEEE
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Simulating a multi-level priority triage system for Maternity Emergency. Abelha, A.; Pereira, E.; Brandão, A.; Portela, F.; Santos, M. F.; and Machado, J. M. . 2014.
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Extending the use of SNOMED concepts in electronic health records. Duarte, J.; Castro, S.; Santos, M.; Abelha, A.; and Machado, J. M. . 2014.
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  2013 (22)
Grid data mining strategies for outcome prediction in distributed intensive care units. Santos, M. F.; Portela, F.; Miranda, M.; Machado, J.; Abelha, A.; Silva, Á.; and Rua, F. In Information Systems and Technologies for Enhancing Health and Social Care, pages 87–101. IGI Global Scientific Publishing, 2013.
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Step towards paper free hospital through electronic health record. Salazar, M.; Duarte, J.; Pereira, R.; Portela, F.; Santos, M. F.; Abelha, A.; and Machado, J. In Advances in Information Systems and Technologies, pages 685–694, 2013. Springer Berlin Heidelberg
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Predict sepsis level in intensive medicine–data mining approach. Gonçalves, J. M.; Portela, F.; Santos, M. F.; Silva, Á.; Machado, J.; and Abelha, A. In Advances in information systems and technologies, pages 201–211, 2013. Springer Berlin Heidelberg
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Real-time decision support in intensive medicine: an intelligent approach for monitoring data quality. Portela, F.; Santos, M. F.; Machado, J. M.; Abelha, A.; Silva, Á.; and Rua, F. . 2013.
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Modeling intelligent agents to integrate a patient monitoring system. Pontes, G.; Portela, C. F.; Rodrigues, R.; Santos, M. F.; Neves, J.; Abelha, A.; and Machado, J. In Trends in Practical Applications of Agents and Multiagent Systems: 11th International Conference on Practical Applications of Agents and Multi-Agent Systems, pages 139–146, 2013. Springer International Publishing
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Swot analysis of a portuguese electronic health record. Pereira, R.; Salazar, M.; Abelha, A.; and Machado, J. In Collaborative, Trusted and Privacy-Aware e/m-Services: 12th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2013, Athens, Greece, April 25-26, 2013. Proceedings 12, pages 169–177, 2013. Springer Berlin Heidelberg
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Tracking people and equipment simulation inside healthcare units. Salgado, C.; Cardoso, L.; Gonçalves, P.; Abelha, A.; and Machado, J. In Ambient Intelligence-Software and Applications: 4th International Symposium on Ambient Intelligence (ISAmI 2013, pages 9–16, 2013. Springer International Publishing
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Data Mining for Real-Time Intelligent Decision Support System in Intensive Care Medicine. Portela, F.; Santos, M. F.; Silva, Á. M; Machado, J.; Abelha, A.; and Rua, F. In ICAART (2), pages 270–276, 2013.
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Pervasive Information Systems to Intensive Care Medicine-Technology Acceptance Model. Aguiar, J.; Portela, F.; Santos, M. F.; Machado, J.; Abelha, A.; Silva, Á.; Rua, F.; and Pinto, F. In International Conference on Enterprise Information Systems, volume 2, pages 177–184, 2013. SCITEPRESS
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Adoption of pervasive intelligent information systems in intensive medicine. Portela, F.; Santos, M. F.; Silva, Á.; Rua, F.; Abelha, A.; and Machado, J. Procedia Technology, 9: 1022–1032. 2013.
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Pervasive and intelligent decision support in critical health care using ensembles. Portela, F.; Santos, M. F.; Machado, J.; Abelha, A.; and Silva, Á. In Information Technology in Bio-and Medical Informatics: 4th International Conference, ITBAM 2013, Prague, Czech Republic, August 28, 2013. Proceedings 4, pages 1–16, 2013. Springer Berlin Heidelberg
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Implementing a pervasive real-time intelligent system for tracking critical events with intensive care patients. Portela, F.; Gago, P.; Santos, M. F.; Machado, J.; Abelha, A.; Silva, Á.; and Rua, F. International Journal of Healthcare Information Systems and Informatics (IJHISI), 8(4): 1–16. 2013.
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Intelligent information system to tracking patients in intensive care units. Marins, F.; Cardoso, L.; Portela, F.; Santos, M.; Abelha, A.; and Machado, J. In Ubiquitous Computing and Ambient Intelligence. Context-Awareness and Context-Driven Interaction: 7th International Conference, UCAmI 2013, Carrillo, Costa Rica, December 2-6, 2013, Proceedings, pages 54–61, 2013. Springer International Publishing
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Extending a patient monitoring system with identification and localisation. Marins, F.; Rodrigues, R.; Portela, F.; Santos, M.; Abelha, A.; and Machado, J. In 2013 IEEE International Conference on Industrial Engineering and Engineering Management, pages 1082–1086, 2013. IEEE
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The impact of mobile platforms in obstetrics. Valente, S.; Braga, J.; Machado, J.; Santos, M.; and Abelha, A. Procedia Technology, 9: 1201–1208. 2013.
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Analysis of cross-platform development frameworks for a smartphone pediatric application. Oliveira, R.; Pontes, G.; Machado, J.; and Abelha, A. In 2013 IEEE International Conference on Industrial Engineering and Engineering Management, pages 1057–1061, 2013. IEEE
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Step towards m-Health in pediatrics. Oliveira, R.; Frutuoso, S.; Machado, J.; Santos, M.; Portela, F.; and Abelha, A. Procedia Technology, 9: 1192–1200. 2013.
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Pervasive ensemble data mining models to predict organ failure and patient outcome in intensive medicine. Portela, F.; Santos, M. F.; Silva, Á.; Abelha, A.; and Machado, J. In Knowledge Discovery, Knowledge Engineering and Knowledge Management: 4th International Joint Conference, IC3K 2012, Barcelona, Spain, October 4-7, 2012, Revised Selected Papers 4, pages 410–425, 2013. Springer Berlin Heidelberg
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An intelligent approach for open clinical laboratory results in Intensive Care medicine. Portela, F.; Santos, M. F.; Machado, J.; Abelha, A.; Silva, Á.; and Rua, F. In 2013 IEEE International Conference on Industrial Engineering and Engineering Management, pages 1092–1096, 2013. IEEE
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Stand-alone electronic health record. Duarte, J.; Pontes, G.; Salazar, M.; Santos, M.; Abelha, A.; and Machado, J. In 2013 IEEE International Conference on Industrial Engineering and Engineering Management, pages 1052–1056, 2013. IEEE
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Grid Data Mining Strategies for Outcome Prediction in Distributed Intensive Care Units. Rua, F.; Santos, M. F.; Portela, F.; Miranda, M.; Machado, J.; Abelha, A.; and Silva, Á. . 2013.
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O meu Dicionário: estudo de caso na área da Expressão Musical. Maria, L. F.; Machado, J.; and Ramos, A. . 2013.
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  2012 (21)
Evolutionary intelligence in asphalt pavement modeling and quality-of-information. Neves, J.; Ribeiro, J.; Pereira, P.; Alves, V.; Machado, J.; Abelha, A.; Novais, P.; Analide, C.; Santos, M.; and Fernández-Delgado, M. Progress in Artificial Intelligence, 1: 119–135. 2012.
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Archetype-based semantic interoperability in healthcare. Marques, A.; Correia, A.; Cerqueira, L.; Machado, J.; and Neves, J. José Alberto Cardoso Marques Inteligência Ambiente em Serviços de Saúde baseada em Ontologias e na Descoberta de Conhecimento em Bases de Dados e/ou Bases de Conhecimento,111. 2012.
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Intelligent data acquisition and scoring system for intensive medicine. Portela, F.; Santos, M. F.; Machado, J.; Silva, Á.; Rua, F.; and Abelha, A. In Information Technology in Bio-and Medical Informatics: Third International Conference, ITBAM 2012, Vienna, Austria, September 4-5, 2012. Proceedings 3, pages 1–15, 2012. Springer Berlin Heidelberg
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Healthcare Interoperability through a JADE Based Multi-Agent Platform. Miranda, M.; Machado, J.; Abelha, A.; and Neves, J. Intelligent Distributed Computing VI,83–88. 2012.
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Prediction of water quality parameters in a reservoir using artificial neural networks. Vicente, H.; Couto, C.; Machado, J.; Abelha, A.; and Neves, J. International Journal of Design & Nature and Ecodynamics, 7(3): 310–319. 2012.
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Water quality modeling using artificial intelligence-based tools. Couto, C.; Vicente, H.; Machado, J.; Abelha, A.; and Neves, J. International Journal of Design & Nature and Ecodynamics, 7(3): 300–309. 2012.
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Intelligent and real time data acquisition and evaluation to determine critical events in intensive medicine. Portela, F.; Gago, P.; Santos, M. F.; Machado, J.; Abelha, A.; Silva, Á.; Rua, F.; Quintas, C.; and Pinto, F. Procedia Technology, 5: 716–724. 2012.
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ScheduleIT–open-source preventive actions management plataform in healthcare information systems. Peixoto, H.; Duarte, J.; Abelha, A.; Santos, M.; and Machado, J. Procedia Technology, 5: 734–742. 2012.
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Multi-agent systems for hl7 interoperability services. Miranda, M.; Salazar, M.; Portela, F.; Santos, M.; Abelha, A.; Neves, J.; and Machado, J. Procedia Technology, 5: 725–733. 2012.
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Usability evaluation of electronic health record. Pereira, R.; Duarte, J.; Salazar, M.; Santos, M.; Neves, J.; Abelha, A.; and Machado, J. In 2012 IEEE-EMBS Conference on Biomedical Engineering and Sciences, pages 359–364, 2012. IEEE
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Usability of an electronic health record. Pereira, R.; Duarte, J.; Salazar, M.; Santos, M.; Abelha, A.; and Machado, J. In 2012 IEEE International conference on industrial engineering and engineering management, pages 1568–1572, 2012. IEEE
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Hospital database workload and fault forecasting. Silva, P.; Quintas, C.; Duarte, J.; Santos, M.; Neves, J.; Abelha, A.; and Machado, J. In 2012 IEEE-EMBS Conference on Biomedical Engineering and Sciences, pages 63–68, 2012. IEEE
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Intelligent systems based in hospital database malfunction scenarios. Silva, P.; Quintas, C.; Gonçalves, P.; Pontes, G.; Santos, M.; Abelha, A.; and Machado, J. In 2012 IEEE International Conference on Industrial Engineering and Engineering Management, pages 846–850, 2012. IEEE
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Agent based interoperability in hospital information systems. Miranda, M.; Pontes, G.; Abelha, A.; Neves, J.; and Machado, J. In 2012 5th International Conference on BioMedical Engineering and Informatics, pages 949–953, 2012. IEEE
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Monitoring intelligent system for the Intensive Care Unit using RFID and multi-agent systems. Rodrigues, R.; Gonc, P.; Miranda, M.; Portela, F.; Santos, M.; Neves, J.; Abelha, A.; Machado, J.; and others In 2012 IEEE International Conference on Industrial Engineering and Engineering Management, pages 851–855, 2012. IEEE
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An intelligent patient monitoring system. Rodrigues, R.; Gonçalves, P.; Miranda, M.; Portela, C.; Santos, M.; Neves, J.; Abelha, A.; and Machado, J. In Foundations of Intelligent Systems: 20th International Symposium, ISMIS 2012, Macau, China, December 4-7, 2012. Proceedings 20, pages 274–283, 2012. Springer Berlin Heidelberg
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Intelligence in Interoperability with AIDA. Peixoto, H.; Santos, M.; Abelha, A.; and Machado, J. In Foundations of Intelligent Systems: 20th International Symposium, ISMIS 2012, Macau, China, December 4-7, 2012. Proceedings 20, pages 264–273, 2012. Springer Berlin Heidelberg
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Step towards fault forecasting in hospital information systems. Silva, P.; Quintas, C.; Santos, M.; Abelha, A.; and Machado, J. In 2012 5th International Conference on BioMedical Engineering and Informatics, pages 1289–1294, 2012. IEEE
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Prediction of the quality of public water supply using artificial neural networks. Vicente, H.; Dias, S.; Fernandes, A.; Abelha, A.; Machado, J.; and Neves, J. Journal of Water Supply: Research and Technology—AQUA, 61(7): 446–459. 2012.
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Intelligent decision support in Intensive Care: towards technology acceptance. Portela, F.; Santos, M. F.; Machado, J. M.; Abelha, A.; Neves, J.; Silva, Á.; and Rua, F. . 2012.
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Step towards simulation and monitoring of hospital waiting lists. Viana, M.; Oliveira, O.; Abelha, A.; and Machado, J. M. . 2012.
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  2011 (12)
Evolutionary intelligence in agent modeling and interoperability. Miranda, M.; Machado, J.; Abelha, A.; Neves, J.; and Neves, J. In Ambient Intelligence-Software and Applications: 2nd International Symposium on Ambient Intelligence (ISAmI 2011), pages 253–257, 2011. Springer Berlin Heidelberg
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Knowledge discovery for pervasive and real-time intelligent decision support in intensive care medicine. Portela, F.; Gago, P.; Santos, M. F.; Silva, A.; Rua, F.; Machado, J.; Abelha, A.; and Neves, J. In International Conference on Knowledge Management and Information Sharing, volume 2, pages 241–249, 2011. SciTePress
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Data acquisition process for an intelligent decision support in gynecology and obstetrics emergency triage. Cabral, A.; Pina, C.; Machado, H.; Abelha, A.; Salazar, M.; Quintas, C.; Portela, C. F.; Machado, J.; Neves, J.; and Santos, M. F. In ENTERprise Information Systems: International Conference, CENTERIS 2011, Vilamoura, Portugal, October 5-7, 2011, Proceedings, Part III, pages 223–232, 2011. Springer Berlin Heidelberg
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AASYS-Appointment Alert System: an open-source-based software to improve show rates in a health care unity. Peixoto, H.; Machado, J. M.; Abelha, A.; Neves, J.; Correia, A.; and Santos, M. . 2011.
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Towards intelligent drug electronic prescription. Duarte, J.; Neves, J.; Cabral, A.; Gomes, M.; Marques, V.; Santos, M. F.; Abelha, A.; and Machado, J. M. . 2011.
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Enabling real-time intelligent decision support in intensive care. Portela, F.; Santos, M. F.; Gago, P.; Silva, Á.; Rua, F.; Abelha, A.; Machado, J. M.; and Neves, J. . 2011.
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A moral decision support system in medicine. Pontes, G.; Duarte, A.; Cuevas, D.; Salazar, M.; Miranda, M.; Abelha, A.; and Machado, J. . 2011.
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Object trajectory simulation: an evolutionary approach. Gonçalves, P.; Alves, L.; Sá, T.; Quintas, C.; Miranda, M.; Abelha, A.; and Machado, J. . 2011.
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Electronic Health Record in Dermatology Service. Duarte, J.; Portela, C. F.; Abelha, A.; Machado, J.; and Santos, M. F. ENTERprise Information Systems,156–164. 2011.
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Enabling a Pervasive Approach for Intelligent Decision Support in Critical Health Care. Portela, C. F.; Santos, M. F.; Silva, Á.; Machado, J.; and Abelha, A. ENTERprise Information Systems,233–243. 2011.
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INTCARE: multi-agent approach for real-time intelligent decision support in intensive medicine. Santos, M. F.; Portela, F.; and Vilas-Boas, M. . 2011.
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An open source decision support system to improve healthcare show rates. Peixoto, H.; Machado, J. M.; Abelha, A.; Santos, M. F.; and Correia, A. . 2011.
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  2010 (20)
Handling incomplete information in an evolutionary environment. Ribeiro, J.; Machado, J.; Abelha, A.; Fernandéz-Delgado, M.; and Neves, J. In IEEE Congress on Evolutionary Computation, pages 1–8, 2010. IEEE
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Integrating incomplete information into the relational data model. Ribeiro, J.; Machado, J.; Abelha, A.; Fernandéz-Delgado, M.; and Neves, J. In Proceedings of the World Congress on Engineering, volume 1, 2010.
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Agents, trust and contracts. Novais, P.; Andrade, F.; Machado, J.; and Neves, J. In Information Communication Technology Law, Protection and Access Rights: Global Approaches and Issues, pages 188–199. IGI Global, 2010.
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Data quality evaluation of electronic health records in the hospital admission process. Duarte, J.; Salazar, M.; Quintas, C.; Santos, M.; Neves, J.; Abelha, A.; and Machado, J. In 2010 IEEE/ACIS 9th International Conference on Computer and Information Science, pages 201–206, 2010. IEEE
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Morality in group decision support systems in medicine. Machado, J.; Miranda, M.; Pontes, G.; Abelha, A.; and Neves, J. In Intelligent Distributed Computing IV: Proceedings of the 4th International Symposium on Intelligent Distributed Computing-IDC 2010, Tangier, Morocco, September 2010, pages 191–200, 2010. Springer Berlin Heidelberg
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AIDATrace: Interoperation platform for active monitoring in healthcare environments. Machado, J. M.; Miranda, M.; Gonçalves, P.; Abelha, A.; Neves, J.; and Marques, J. A. . 2010.
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The inference process with quality evaluation in healthcare environments. Ribeiro, J.; Abelha, A.; Machado, J.; Marques, A.; and Neves, J. In 2010 IEEE/ACIS 9th International Conference on Computer and Information Science, pages 183–188, 2010. IEEE
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Software agents and virtual organisations: consent and trust. Andrade, F.; Novais, P.; Machado, J.; and Neves, J. International Journal of Services and Operations Management, 6(3): 352–361. 2010.
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Semantic interoperability and health records. Peixoto, H.; Machado, J.; Neves, J.; and Abelha, A. In IMIA/IFIP Joint Symposium on E-Health, pages 236–237, 2010. Springer Berlin Heidelberg Berlin, Heidelberg
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Sistema Inteligente de Pesquisa de Eventos em Enfermagem. Morais, A.; Machado, J.; Abelha, A.; and Neves, J. . 2010.
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A step towards medical ethics modeling. Miranda, M.; Machado, J.; Abelha, A.; Pontes, G.; and Neves, J. In E-Health: First IMIA/IFIP Joint Symposium, E-Health 2010, Held as Part of WCC 2010, Brisbane, Australia, September 20-23, 2010. Proceedings, pages 27–36, 2010. Springer Berlin Heidelberg
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Electronic Health Records in the Emergency Room. Portela, F.; Vilas-Boas, M.; Santos, M. F; Abelha, A.; Machado, J.; Cabral, A.; and Aragão, I. In Computer and Information Science (ICIS), 2010 IEEE/ACIS 9th International Conference on, pages 195–200, 2010. IEEE
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Modelling Intelligent Behaviours in Multi-agent Based HL7 Services. Miranda, M.; Pontes, G.; Gonçalves, P.; Peixoto, H.; Santos, M.; Abelha, A.; and Machado, J. Computer and Information Science 2010,95–106. 2010.
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Processo Clı́nico Electrónico Visual. Marinho, R.; Machado, J.; and Abelha, A. . 2010.
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O Processo ETL em Sistemas Data Warehouse. Ferreira, J.; Miranda, M.; Abelha, A.; and Machado, J. . 2010.
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Interoperabilidade e o Processo Clı́nico Semântico. Peixoto, H.; Machado, J.; and Abelha, A. . 2010.
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Quality of service in healthcare units. Machado, J.; Abelha, A.; Novais, P.; Neves, J.; and Neves, J. International Journal of Computer Aided Engineering and Technology, 2(4): 436–449. 2010.
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Interoperabity in healthcare. Miranda, M.; Duarte, J.; Abelha, A.; Machado, J. M.; Neves, J.; and Neves, J. . 2010.
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Interoperability performance in a healthcare environment. Alves, F.; Abelha, A.; Machado, J. M.; Neves, J.; and Neves, J. . 2010.
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Intelligent Decision Support in Intensive Care Units-Nursing Information Modeling. Santos, M. F.; Portela, F.; Vilas-Boas, M.; Machado, J. M.; Abelha, A.; Neves, J.; Silva, Á.; Rua, F.; Salazar, M.; Quintas, C.; and others . 2010.
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  2009 (18)
Intelligent agents and medical moral dilemmas. Machado, J.; Miranda, M.; Pontes, G.; dos Santos, D; Santos, M.; Abelha, A.; and Neves, J. In WSEAS International Conference. Proceedings. Mathematics and Computers in Science and Engineering, 2009. World Scientific and Engineering Academy and Society
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Modeling medical ethics through intelligent agents. Machado, J.; Miranda, M.; Abelha, A.; Neves, J.; and Neves, J. In Software Services for e-Business and e-Society: 9th IFIP WG 6.1 Conference on e-Business, e-Services and e-Society, I3E 2009, Nancy, France, September 23-25, 2009. Proceedings 9, pages 112–122, 2009. Springer Berlin Heidelberg
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Interoperability and healthcare. Miranda, M.; Duarte, J.; Abelha, A.; Machado, J. M.; and Neves, J. . 2009.
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Information architecture for intelligent decision support in intensive medicine. Santos, M.; Portela, F.; Vilas-Boas, M.; Machado, J; Abelha, A.; Neves, J.; Silva, A; and Rua, F. WSEAS Transactions on Computers, 8(5): 810–819. 2009.
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A group decision support system for staging of cancer. Miranda, M.; Abelha, A.; Santos, M.; Machado, J.; and Neves, J. In Electronic Healthcare: First International Conference, eHealth 2008, London, UK, September 8-9, 2008. Revised Selected Papers 1, pages 114–121, 2009. Springer Berlin Heidelberg
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Information Modeling for Real-Time Decision Support in Intensive Medicine. Santos, M.; Portela, F.; Vilas-Boas, M.; Machado, J. M.; Abelha, A.; Neves, J.; Silva, Á.; and Rua, F. . 2009.
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Virtualecare: Intelligent assisted living. Costa, R.; Novais, P.; Lima, L.; Carneiro, D.; Samico, D.; Oliveira, J.; Machado, J.; and Neves, J. In Electronic Healthcare: First International Conference, eHealth 2008, London, UK, September 8-9, 2008. Revised Selected Papers 1, pages 138–144, 2009. Springer Berlin Heidelberg
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Ambient assisted living. Costa, R.; Carneiro, D.; Novais, P.; Lima, L.; Machado, J.; Marques, A.; and Neves, J. In 3rd Symposium of ubiquitous computing and ambient intelligence 2008, pages 86–94, 2009. Springer Berlin Heidelberg
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Argument-based decision making in ambient intelligence environments. Marreiros, G.; Ramos, C.; Machado, J.; and Neves, J. International Journal of Reasoning-based Intelligent Systems, 1(3-4): 182–190. 2009.
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Wine vinification prediction using data mining tools. Ribeiro, J.; Neves, J.; Sanchez, J.; Delgado, M.; Machado, J.; and Novais, P. In ECC'09 Proceedings of the 3rd international conference on European computing conference. Computing and Computational Intelligence. WSEAS, pages 78–85, 2009.
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Nursing information architecture for situated decision support in intensive care units. Santos, M. F.; Portela, F.; Vilas-Boas, M.; Machado, J; Abelha, A.; Neves, J.; Silva, A; Rua, F.; Salazar, M.; Quintas, C.; and others In Proceedings of the 9th WSEAS international conference on Applied informatics and communications, pages 491–496, 2009.
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A memory assistant for the elderly. Costa, Â.; Novais, P.; Costa, R.; Machado, J.; and Neves, J. In Intelligent Distributed Computing III: Proceedings of the 3rd International Symposium on Intelligent Distributed Computing–IDC 2009, Ayia Napa, Cyprus, October 2009, pages 209–214, 2009. Springer Berlin Heidelberg
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Vinification mining: a case study on wine production. Ribeiro, J. M. F. B.; Neves, J.; Sanchez, J.; Novais, P.; and Machado, J. M. . 2009.
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An agent-based architecture for cancer staging. Miranda, M.; Abelha, A.; Santos, M.; Machado, J.; and Neves, J. In International Conference on Enterprise Information Systems, volume 1, pages 313–316, 2009. SCITEPRESS
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Agent-based group decision support in medicine. Duarte, J.; Miranda, M.; Abelha, A.; Machado, J. M.; Neves, J.; Santos, M.; Alberto, C.; Salazar, M.; Quintas, C.; Cabral, A.; and others . 2009.
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Editorial [to] International Journal on Intelligent Based Reasoning Systems Vol. 1, Nº 3/4. Pereira, L. M.; Neves, J.; Machado, J. M.; and Santos, M. . 2009.
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Quality of service in transplantation via the electronic medical record. Belo, D.; Miranda, M.; Abelha, A.; Machado, J. M.; and Neves, J. . 2009.
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A influência do balanced scorecard no desenvolvimento do value management na função de alinhamento organizacional e planeamento operacional. Machado, J. Ph.D. Thesis, 2009.
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  2008 (10)
Simulating and monitoring ambient assisted living. Carneiro, D.; Costa, R.; Novais, P.; Neves, J.; Machado, J; and Neves, J. In Proceedings of the ESM, pages 175–182, 2008.
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Electronic health records and decision support local and global perspectives. Neves, J.; Santos, M.; Machado, J.; Abelha, A.; Allegro, S.; and Salazar, M. WSEAS transactions on biology and biomedicine, 5(8): 189–198. 2008.
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Group support in collaborative networks organizations for ambient assisted living. Novais, P.; Costa, R.; Carneiro, D.; Machado, J.; Lima, L.; and Neves, J. In Towards Sustainable Society on Ubiquitous Networks: The 8 th IFIP Conference on e-Business, e-Services, and e-Society (I3E 2008), September 24–16, 2008, Tokyo, Japan, pages 353–362, 2008. Springer US
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An agent based approach to the selection dilemma in cbr. Analide, C.; Abelha, A.; Machado, J.; and Neves, J. In Intelligent Distributed Computing, Systems and Applications: Proceedings of the 2nd International Symposium on Intelligent Distributed Computing–IDC 2008, Catania, Italy, 2008, pages 35–44, 2008. Springer Berlin Heidelberg
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Electronic health records-organizational, regional, national, or worldwide. Neves, J.; Santos, M.; Machado, J.; Abelha, A.; Sollari, A; and Salazar, M. In 1st WSEAS International Conference on Biomedical Electronics and Biomedical Informatics, pages 116–121, 2008.
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Software agents in virtual organizations: good faith and trust. Andrade, F.; Novais, P.; Machado, J.; and Neves, J. In Working Conference on Virtual Enterprises, pages 389–396, 2008. Springer US Boston, MA
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O PROCESSO CLÍNICO ELECTRÓNICO. Abelha, A.; Alberto, C.; Neves, J.; Machado, J.; and Neves, J. In Congresso Luso-Moçambicano de Engenharia (CLME 2008), 2008.
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A Web-Based System to Reduce the Nosocomial Infection Impact in Healtcare Units. Rigor, H.; Machado, J.; Abelha, A.; Neves, J.; and Alberto, C. In WEBIST (1), pages 264–268, 2008.
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Improving patient assistance and medical practices through intelligent agents. Machado, J. M.; Abelha, A.; Novais, P.; Neves, J.; and Neves, J. . 2008.
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Defects of the will in software agents contracting. Andrade, F.; Machado, J.; Novais, P.; and Neves, J. In 2008. Jurix
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  2007 (16)
Inter-organization Cooperation for Care of the Elderly. Costa, R.; Novais, P.; Machado, J.; Alberto, C.; and Neves, J. In Integration and Innovation Orient to E-Society Volume 2: Seventh IFIP International Conference on e-Business, e-Services, and e-Society (13E2007), October 10–12, Wuhan, China, pages 200–208, 2007. Springer US
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Contracting agents: legal personality and representation. Andrade, F.; Novais, P.; Machado, J.; and Neves, J. Artificial Intelligence and Law, 15: 357–373. 2007.
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The halt condition in genetic programming. Neves, J.; Machado, J.; Analide, C.; Abelha, A.; and Brito, L. In Progress in Artificial Intelligence: 13th Portuguese Conference on Aritficial Intelligence, EPIA 2007, Workshops: GAIW, AIASTS, ALEA, AMITA, BAOSW, BI, CMBSB, IROBOT, MASTA, STCS, and TEMA, Guimarães, Portugal, December 3-7, 2007. Proceedings 13, pages 160–169, 2007. Springer Berlin Heidelberg
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Intelligent mixed reality for the creation of ambient assisted living. Costa, R.; Neves, J.; Novais, P.; Machado, J.; Lima, L.; and Alberto, C. In Progress in Artificial Intelligence: 13th Portuguese Conference on Aritficial Intelligence, EPIA 2007, Workshops: GAIW, AIASTS, ALEA, AMITA, BAOSW, BI, CMBSB, IROBOT, MASTA, STCS, and TEMA, Guimarães, Portugal, December 3-7, 2007. Proceedings 13, pages 323–331, 2007. Springer Berlin Heidelberg
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Ambient intelligence and simulation in health care virtual scenarios. Abelha, A.; Analide, C.; Machado, J.; Neves, J.; Santos, M.; and Novais, P. In Establishing the Foundation of Collaborative Networks: IFIP TC 5 Working Group 5.5 Eighth IFIP Working Conference on Virtual Enterprises September 10–12, 2007, Guimarães, Portugal, pages 461–468, 2007. Springer US
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Ambient intelligence via multiagent systems in the medical arena. Machado, J. M.; Alves, V.; Abelha, A.; and Neves, J. . 2007.
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Argumentation-based decision making in ambient intelligence environments. Marreiros, G.; Santos, R.; Novais, P.; Machado, J.; Ramos, C.; Neves, J.; and Bula-Cruz, J. In Progress in Artificial Intelligence: 13th Portuguese Conference on Aritficial Intelligence, EPIA 2007, Workshops: GAIW, AIASTS, ALEA, AMITA, BAOSW, BI, CMBSB, IROBOT, MASTA, STCS, and TEMA, Guimarães, Portugal, December 3-7, 2007. Proceedings 13, pages 309–322, 2007. Springer Berlin Heidelberg
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Ambient intelligence in emotion based ubiquitous decision making. Marreiros, G.; Santos, R.; Ramos, C.; Neves, J.; Novais, P.; Machado, J. M.; and Cruz, J. B. . 2007.
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Progress in Artificial Intelligence: 13th Portuguese Conference on Artificial Intelligence, EPIA 2007, Workshops: GAIW, AIASTS, ALEA, AMITA, BAOSW, BI, CMBSB, IROBOT, MASTA, STCS, and TEMA, Guimarães, Portugal, December 3-7, 2007, Proceedings. Neves, J. M.; Santos, M. F.; and Machado, J. M. 2007.
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Modelling group decision simulation through argumentation. Marreiros, G.; Novais, P.; Machado, J.; Ramos, C.; and Neves, J. In 21th annual European Simulation and Modelling Conference 2007 (ESM 2007), pages 394–401, 2007. Eurosis
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Intelligent contracting: Software agents, corporate bodies and virtual organizations. Andrade, F.; Novais, P.; Machado, J.; and Neves, J. In Working Conference on Virtual Enterprises, pages 217–224, 2007. Springer US Boston, MA
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Inter-organization Cooperation for Care of the Elderly. Alberto, C.; Costa, R.; Machado, J.; Neves, J.; and Novais, P. . 2007.
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Simulation and formal verification of real time systems: A case study. Seabra, E.; Machado, J.; da Silva, J. F.; Soares, F. O; and Leão, C. P In ICINCO-SPSMC, pages 308–313, 2007.
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Modelling group decision simulation through argumentation (in Conf: Modelling and Simulation 2007. The European... Novais, P. J.; Machado, J.; and maia Neves, J. . 2007.
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Software educativo como facilitador da aprendizagem: estudo tomando a função exponencial e a derivada. Machado, J.; Silva, B. D.; and Almeida, L. S . 2007.
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Proceeding EPIA 2007. Cortez, P; Morais, A; Neves, J; Santos, M.; and Machado, J . 2007.
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  2006 (11)
Quality of knowledge in virtual entities. Analide, C.; Novais, P.; Machado, J.; and Neves, J. In Encyclopedia of communities of practice in information and knowledge management, pages 436–442. IGI Global Scientific Publishing, 2006.
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An Agent based Approach to Group Decision Simulation using Argumentation. Marreiros, G.; Novais, P.; Machado, J.; Ramos, C.; and Neves, J. In Proceedings of the International Multiconference on ISSN, volume 1896, pages 7094, 2006.
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Ambient intelligence in medicine. Machado, J.; Abelha, A.; Neves, J.; and Santos, M. In 2006 IEEE Biomedical Circuits and Systems Conference, pages 94–97, 2006. IEEE
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Formal Models in Web Based Contracting. Machado, J.; Andrade, F.; Neves, J.; Novais, P.; and Analide, C. In 2006 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology Workshops, pages 548–554, 2006. IEEE
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Multiagent based problem solving in medical decision support systems. Machado, J. M.; Abelha, A.; Santos, M.; and Neves, J. . 2006.
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A web-based collaboration approach for teaching in medicine. Alves, V.; Machado, J. M.; Abelha, A.; Novais, P.; and Analide, C. . 2006.
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Ambition: Ambient intelligence with emotional behaviour. Ramos, C.; Marreiros, G.; Sousa, P.; Marinho, J.; Santos, R.; Neves, J.; Abelha, A.; and Machado, J. M. . 2006.
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Auditing agents in the context of a telemedical information society. Abelha, A.; Santos, M.; Machado, J. M.; and Neves, J. . 2006.
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Emotions on agent based simulators for group formation. Novais, P.; Machado, J. M.; Neves, J.; Marreiros, G.; and Ramos, C. . 2006.
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Emotions on agent based simulators for group formation. Marreiros, G.; Novais, P.; Machado, J.; Ramos, C.; and Neves, J. In Proceedings of the ESM, pages 310–314, 2006.
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A formal approach to argumentation in group decision scenarios. Neves, J.; Novais, P.; Machado, J. M.; Marreiros, G.; and Ramos, C. . 2006.
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  2005 (4)
Agent based decision support systems in medicine. Alves, V.; Neves, J.; Machado, J. M.; and Abelha, A. . 2005.
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Legal security and credibility in agent based virtual enterprises. Andrade, F.; Neves, J.; Novais, P.; Machado, J.; and Abelha, A. In Collaborative Networks and Their Breeding Environments: IFIP TC5 WG 5.5 Sixth IFIP Working Conference on VIRTUAL ENTERPRISES, 26–28 September, 2005, Valencia, Spain 6, pages 503–512, 2005. Springer US
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Agent driven diagnosis in medicine. Alves, V.; Machado, J. M.; Abelha, A.; and Neves, J. . 2005.
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Web-based simulation in medicine. Machado, J. M.; and Alves, V. . 2005.
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  2004 (7)
Health data management in the medical arena. Abelha, A.; Machado, J. M.; Alves, V.; and Neves, J. . 2004.
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Data warehousing through multi-agent systems in the medical arena. Abelha, A.; Machado, J. M.; Alves, V.; and Neves, J. . 2004.
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Reputation and Trust in the context of Logic-based argumentation. Novais, P.; Analide, C.; Machado, J. M.; and Neves, J. . 2004.
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Software agents as legal persons. Andrade, F.; Neves, J.; Novais, P.; and Machado, J. In Working Conference on Virtual Enterprises, pages 123–132, 2004. Springer US Boston, MA
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Anthropopathy in Virtual Entities. Analide, C.; Machado, J.; and Neves, J. Ph.D. Thesis, PhD Thesis, Department of Informatics, University of Minho, 2004.
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E-learning in medical environments using intelligent tutoring systems. Mota, R.; Vidal, R.; Alves, V.; Machado, J. M.; Abelha, A.; and Nelas, L. . 2004.
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Anthropopaty and its assessment in virtual entities. Analide, C.; Novais, P.; Machado, J. M.; and Neves, J. . 2004.
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  2003 (3)
Argumentative procedures in e-commerce environments. Novais, P.; Neves, J.; Brito, L.; and Machado, J. In Towards the Knowledge Society: eCommerce, eBusiness and eGovernment The Second IFIP Conference on E-Commerce, E-Business, E-Government (I3E 2002) October 7–9, 2002, Lisbon, Portugal, pages 703–716, 2003. Springer US
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Anthropapathic agents in e-Learning systems applied to the area of the medicine. Analide, C.; Machado, J. M.; Gomes, É.; and Neves, J. . 2003.
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Governo eletrónico: modernização da Administração Pública. Machado, J. texto de apoio, Universidade do Minho, Departamento de Informática, Braga, Portugal. 2003.
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  2002 (2)
Agency for integration, diffusion and archive of medical information. Abelha, A.; Machado, J.; Santos, M; Allegro, S.; Rua, F.; Paiva, M.; and Neves, J. In Proceedings of the Third IASTED International Conference-Artificial Intelligence and Applications, Benalmadena, Spain, pages 1–47, 2002.
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Interchanging Agents and Humans in Problem Solving in the Area of the Medicine. Alves, V.; Abelha, A.; Ribeiro, V.; and Machado, J. In Proceedings of the Second IASTED International Conference-Artificial Intelligence and Applications, 2002.
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  2001 (1)
Agentes inteligentes como objectos dum sistema distribuı́do de realidade virtual. Machado, J. M. . 2001.
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  1999 (1)
A unified framework for data modeling on medical information systems. Neves, J.; Cortez, P.; Rocha, M.; Abelha, A.; Machado, J.; Alves, V.; Basto, S.; Botelho, H.; and Neves, J. In Medical Informatics Europe'99, pages 68–71, 1999. IOS Press
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  1998 (1)
A distributed web-based water quality diagnosis and simulation system in lakes and reservoirs. Neves, J.; Machado, J. M.; Cortez, P.; Arteiro, J.; and Vicente, H. . 1998.
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  1997 (7)
Extended logic programming applied to the specification of multi-agent systems and their computing environments. Neves, J.; Machado, J; Analide, C.; Novais, P.; and Abelha, A. In 1997 IEEE International Conference on Intelligent Processing Systems (Cat. No. 97TH8335), volume 1, pages 159–164, 1997. IEEE
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A Multi-Agent Computational Framework for Dynamic Systems. Machado, J; Neves, J; and Analide, C In APPLIED INFORMATICS-PROCEEDINGS-, pages 302–305, 1997. IASTED
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The application of artificial intelligence to law enforcement. Neves, J.; Machado, J.; and Abelha, A. In Proceedings of the 6th international conference on Artificial intelligence and law, pages 256, 1997.
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Steps Toward Formalizing Context in Discrete Event Simulation. Neves, J.; Machado, J.; and Abelha, A. In Proceedings of the IASTED International Conference, Artificial Intelligence and Soft Computing, July 27 to August 1, 1997, Banff, Canada, pages 21, 1997. Acta Pr
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Addressing Problem Solving on a Distributed Computational Architecture. Machado, J.; Novais, P.; Abelha, A.; and Neves, J. In Proceedings of the 3rd International Congress of Industrial Engineering, Gramado Brasil, 1997.
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Distributed interactive simulation. Machado, J. M.; and Neves, J. . 1997.
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A multi-agent system for law enforcement simulation. Neves, J.; Machado, J. M.; Novais, P.; and Abelha, A. . 1997.
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  1996 (3)
An evolutionary artificial neural network time series forecasting system. Cortez, P.; Machado, J. M.; and Neves, J. . 1996.
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Time Series Forecasting in a Distributed Environment. Cortez, P.; Machado, J.; and Neves, J. In IBERAMIA 96, 1996.
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a software agent Distributed system for Dynamic load Balancing. Neves, J.; Machado, J. M.; Costa, L.; and Cortez, P. . 1996.
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  1995 (1)
A neural network based time series forecasting system. Cortez, F; Rocha, M.; Machado, J.; and Neves, J. In Proceedings of ICNN'95-International Conference on Neural Networks, volume 5, pages 2689–2693, 1995. IEEE
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  1992 (1)
Lógica Computacional. Machado, J; and Neves, J 1992.
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