Incorporating temporal EHR data in predictive models for risk stratification of renal function deterioration

Incorporating temporal EHR data in predictive models for risk stratification of renal function deterioration

Predictive models built using temporal data in electronic health records (EHRs) can potentially play a major role in improving management of chronic diseases. However, these data present a multitude of technical challenges, including irregular sampling of data and varying length of available patient...

Full description

Bibliographic Details
Main Authors: Singh, Anima, Nadkarni, Girish, Gottesman, Omri, Ellis, Stephen B., Bottinger, Erwin P., Guttag, John V.
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format: Article
Language:en_US
Published: Elsevier 2016
Online Access:http://hdl.handle.net/1721.1/101133
https://orcid.org/0000-0003-0992-0906

Internet

http://hdl.handle.net/1721.1/101133
https://orcid.org/0000-0003-0992-0906

Similar Items