Objective:

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

The plan:

• Jan 2015: final XPRESS pipeline ready
• March 2015: 10 models built
• May 2015: Test portability of 10 models
• July 2015: Run the XPRESS vs. “queries” comparison at a non-stanford site.
• Oct 2015: Decide the approach to use in OHDSI

The Participants:

• Juan Banda
• Vibhu Agarwal
• George Hripsack (+ Barnett Chiu, Sunny Chang)
• Nicholas Tatonetti (+ Alexandre Yahi)
• Jon Duke (+ Saeed Malas)

Start Date: January 2015.

Repository: https://github.com/OHDSI/Aphrodite

WG Minutes: Need to find a good place

WG Agendas: Need to find a good place