Patient risk stratification with time-varying parameters: A multitask learning approach

Patient risk stratification with time-varying parameters: A multitask learning approach

The proliferation of electronic health records (EHRs) frames opportunities for using machine learning to build models that help healthcare providers improve patient outcomes. However, building useful risk stratification models presents many technical challenges including the large number of factors...

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Bibliographic Details
Main Authors: Horvitz, Eric (Author), Wiens, Jenna Anne Marleau (Contributor), Guttag, John V (Contributor)
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor), Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor)
Format: Article
Language:English
Published: JMLR, Inc., 2018-07-02T17:08:19Z.
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