Khader Shameer, Kipp W. Johnson, Alexandre Yahi, Riccardo Miotto, Li Li, Doran Ricks, Jebakumar Jebakaran, Patricia A. Kovatch, Partho P. Sengupta, Annetine Gelijns, Alan Moskovitz, Bruce Darrow, David L. Reich, Andrew Kasarskis, Nicholas P. Tatonetti, Deborah F. Pinney, Joel T. Dudley. Predictive Modeling of Hospital Readmission Rates Using Electronic Medical Record-Wide Machine Learning: A Case-Study Using Mount Sinai Heart Failure Cohort. In Russ B. Altman, A. Keith Dunker, Lawrence Hunter, Marylyn D. Ritchie, Teri E. Klein, editors, Biocomputing 2017: Proceedings of the Pacific Symposium, Kohala Coast, Hawaii, USA, January 3-7, 2017. pages 276-287, 2017. [doi]
@inproceedings{ShameerJYMLRJKS17,
title = {Predictive Modeling of Hospital Readmission Rates Using Electronic Medical Record-Wide Machine Learning: A Case-Study Using Mount Sinai Heart Failure Cohort},
author = {Khader Shameer and Kipp W. Johnson and Alexandre Yahi and Riccardo Miotto and Li Li and Doran Ricks and Jebakumar Jebakaran and Patricia A. Kovatch and Partho P. Sengupta and Annetine Gelijns and Alan Moskovitz and Bruce Darrow and David L. Reich and Andrew Kasarskis and Nicholas P. Tatonetti and Deborah F. Pinney and Joel T. Dudley},
year = {2017},
url = {http://psb.stanford.edu/psb-online/proceedings/psb17/shameer.pdf},
researchr = {https://researchr.org/publication/ShameerJYMLRJKS17},
cites = {0},
citedby = {0},
pages = {276-287},
booktitle = {Biocomputing 2017: Proceedings of the Pacific Symposium, Kohala Coast, Hawaii, USA, January 3-7, 2017},
editor = {Russ B. Altman and A. Keith Dunker and Lawrence Hunter and Marylyn D. Ritchie and Teri E. Klein},
}