Learning Phenotypes and Dynamic Patient Representations via RNN Regularized Collective Non-Negative Tensor Factorization. Yin, K., Qian, D., Cheung, W. K., Fung, B. C. M., & Poon, J. In The Thirty-Third AAAI Conference on Artificial Intelligence, AAAI 2019, The Thirty-First Innovative Applications of Artificial Intelligence Conference, IAAI 2019, The Ninth AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019, Honolulu, Hawaii, USA, January 27 - February 1, 2019, pages 1246–1253, 2019. AAAI Press.
Learning Phenotypes and Dynamic Patient Representations via RNN Regularized Collective Non-Negative Tensor Factorization [link]Paper  doi  bibtex   
@inproceedings{DBLP:conf/aaai/YinQCFP19,
  author    = {Kejing Yin and
               Dong Qian and
               William K. Cheung and
               Benjamin C. M. Fung and
               Jonathan Poon},
  title     = {Learning Phenotypes and Dynamic Patient Representations via {RNN}
               Regularized Collective Non-Negative Tensor Factorization},
  booktitle = {The Thirty-Third {AAAI} Conference on Artificial Intelligence, {AAAI}
               2019, The Thirty-First Innovative Applications of Artificial Intelligence
               Conference, {IAAI} 2019, The Ninth {AAAI} Symposium on Educational
               Advances in Artificial Intelligence, {EAAI} 2019, Honolulu, Hawaii,
               USA, January 27 - February 1, 2019},
  pages     = {1246--1253},
  publisher = {{AAAI} Press},
  year      = {2019},
  url       = {https://doi.org/10.1609/aaai.v33i01.33011246},
  doi       = {10.1609/aaai.v33i01.33011246},
  timestamp = {Wed, 25 Sep 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/bib/conf/aaai/YinQCFP19},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

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