Mining Interpretable and Predictive Diagnosis Codes from Multi-source Electronic Health Records

Sanjoy Dey, György J. Simon, Bonnie L. Westra, Michael Steinbach, Vipin Kumar. Mining Interpretable and Predictive Diagnosis Codes from Multi-source Electronic Health Records. In Mohammed Javeed Zaki, Zoran Obradovic, Pang-Ning Tan, Arindam Banerjee, Chandrika Kamath, Srinivasan Parthasarathy, editors, Proceedings of the 2014 SIAM International Conference on Data Mining, Philadelphia, Pennsylvania, USA, April 24-26, 2014. pages 1055-1063, SIAM, 2014. [doi]

@inproceedings{DeySWSK14,
  title = {Mining Interpretable and Predictive Diagnosis Codes from Multi-source Electronic Health Records},
  author = {Sanjoy Dey and György J. Simon and Bonnie L. Westra and Michael Steinbach and Vipin Kumar},
  year = {2014},
  doi = {10.1137/1.9781611973440.120},
  url = {http://dx.doi.org/10.1137/1.9781611973440.120},
  researchr = {https://researchr.org/publication/DeySWSK14},
  cites = {0},
  citedby = {0},
  pages = {1055-1063},
  booktitle = {Proceedings of the 2014 SIAM International Conference on Data Mining, Philadelphia, Pennsylvania, USA, April 24-26, 2014},
  editor = {Mohammed Javeed Zaki and Zoran Obradovic and Pang-Ning Tan and Arindam Banerjee and Chandrika Kamath and Srinivasan Parthasarathy},
  publisher = {SIAM},
  isbn = {978-1-61197-344-0},
}