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...
Main Authors: | , , |
---|---|
Other Authors: | |
Format: | Article |
Published: |
JMLR, Inc.
2018
|
Online Access: | http://hdl.handle.net/1721.1/116717 https://orcid.org/0000-0003-0992-0906 |