To build and evaluate a computational pipeline for electronic phenotyping – which defines criteria to algorithmically select sets of patients based on stored clinical data – in the OHDSI project. Our approach for learning statistical models of clinical phenotypes is called XPRESS, which stands for eXtraction of Phenotypes from clinical REcords using Silver Standards.
Project Leads: Nigam Shah, MBBS, PhD
Start Date: January 2015.
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