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Phenotyping workgroup
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 and Agendas: **
https://docs.google.com/document/d/1TmpRQ7YulvlESwpXUdVSSuNDROQSenWLgN6xp5OCN5I/edit?usp=sharing
**WG Video Call Recording: **
Meetings
Schedule: Every 2nd week on Thursday • from September 17, 2015 • 9 a.m. PDT / 1 hr
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