High-throughput phenotyping with electronic medical record data using a common semi-supervised approach (PheCAP)

High-throughput phenotyping with electronic medical record data using a common semi-supervised approach (PheCAP)

© 2019, The Author(s), under exclusive licence to Springer Nature Limited. Phenotypes are the foundation for clinical and genetic studies of disease risk and outcomes. The growth of biobanks linked to electronic medical record (EMR) data has both facilitated and increased the demand for efficient, a...

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Bibliographic Details
Main Authors: Zhang, Yichi, Cai, Tianrun, Yu, Sheng, Cho, Kelly, Hong, Chuan, Sun, Jiehuan, Huang, Jie, Ho, Yuk-Lam, Ananthakrishnan, Ashwin N, Xia, Zongqi, Shaw, Stanley Y, Gainer, Vivian, Castro, Victor, Link, Nicholas, Honerlaw, Jacqueline, Huang, Sicong, Gagnon, David, Karlson, Elizabeth W, Plenge, Robert M, Szolovits, Peter, Savova, Guergana, Churchill, Susanne, O’Donnell, Christopher, Murphy, Shawn N, Gaziano, J Michael, Kohane, Isaac, Cai, Tianxi, Liao, Katherine P
Other Authors: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Format: Article
Language:English
Published: Springer Science and Business Media LLC 2021
Online Access:https://hdl.handle.net/1721.1/134827

Internet

https://hdl.handle.net/1721.1/134827

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