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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Bibliografiska uppgifter
Huvudupphovsmän: 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
Övriga upphovsmän: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Materialtyp: Artikel
Språk:English
Publicerad: Springer Science and Business Media LLC 2021
Länkar:https://hdl.handle.net/1721.1/134827

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