Relational machine learning for electronic health record-driven phenotyping.

Objective: Electronic health records (EHR) offer medical and pharmacogenomics research unprecedented opportunities to identify and classify patients at risk. EHRs are collections of highly inter-dependent records that include biological, anatomical, physiological, and behavioral observations. They c...

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Bibliographic Details

Published in:	Journal of Biomedical Informatics Vol. 52; pp. 260 - 271
Main Authors:	Peissig, Peggy L, Santos Costa, Vitor, Caldwell, Michael D, Rottscheit, Carla, Berg, Richard L, Mendonca, Eneida A, Page, David
Format:	research Journal Article
Published:	Academic Press Inc. Dec2014
Online Access:	View this record in EBSCOhost