Machine learning prediction models for clinical management of blood-borne viral infections: a systematic review of current applications and future impact. Ajuwon, B. I., Awotundun, O. N., Richardson, A. M., Roper, K., Sheel, M., Rahman, N., Salako, A., & Lidbury, B. A. Int. J. Medical Informatics, 179:105244, 11, 2023.
Machine learning prediction models for clinical management of blood-borne viral infections: a systematic review of current applications and future impact. [link]Link  Machine learning prediction models for clinical management of blood-borne viral infections: a systematic review of current applications and future impact. [link]Paper  bibtex   
@article{journals/ijmi/AjuwonARRSRSL23,
  added-at = {2023-11-14T00:00:00.000+0100},
  author = {Ajuwon, Busayo I. and Awotundun, Oluwatosin N. and Richardson, Alice M. and Roper, Katrina and Sheel, Meru and Rahman, Nurudeen and Salako, Abideen and Lidbury, Brett A.},
  biburl = {https://www.bibsonomy.org/bibtex/2fe2e56a283d2fcdae4c69935d84f54b6/dblp},
  ee = {https://doi.org/10.1016/j.ijmedinf.2023.105244},
  interhash = {2a8fe76b126fc0858bde0d19348910fc},
  intrahash = {fe2e56a283d2fcdae4c69935d84f54b6},
  journal = {Int. J. Medical Informatics},
  keywords = {dblp},
  month = {11},
  pages = 105244,
  timestamp = {2024-04-08T17:41:44.000+0200},
  title = {Machine learning prediction models for clinical management of blood-borne viral infections: a systematic review of current applications and future impact.},
  url = {http://dblp.uni-trier.de/db/journals/ijmi/ijmi179.html#AjuwonARRSRSL23},
  volume = 179,
  year = 2023
}

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