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...
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 |
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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
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Online Access: | https://hdl.handle.net/1721.1/134827 |
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