Methods to Develop an Electronic Medical Record Phenotype Algorithm to Compare the Risk of Coronary Artery Disease across 3 Chronic Disease Cohorts

Methods to Develop an Electronic Medical Record Phenotype Algorithm to Compare the Risk of Coronary Artery Disease across 3 Chronic Disease Cohorts

Background Typically, algorithms to classify phenotypes using electronic medical record (EMR) data were developed to perform well in a specific patient population. There is increasing interest in analyses which can allow study of a specific outcome across different diseases. Such a study in the EMR...

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Main Authors: Liao, Katherine P., Ananthakrishnan, Ashwin N., Kumar, Vishesh, Xia, Zongqi, Cagan, Andrew, Gainer, Vivian S., Goryachev, Sergey, Chen, Pei, Savova, Guergana K., Agniel, Denis, Churchill, Susanne, Lee, Jaeyoung, Murphy, Shawn N., Plenge, Robert M., Szolovits, Peter, Kohane, Isaac, Shaw, Stanley Y., Karlson, Elizabeth W., Cai, Tianxi
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format: Article
Language:en_US
Published: Public Library of Science 2015
Online Access:http://hdl.handle.net/1721.1/99879
https://orcid.org/0000-0001-8411-6403

Internet

http://hdl.handle.net/1721.1/99879
https://orcid.org/0000-0001-8411-6403

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