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- Title
- F81. ELUCIDATING GENETIC AND ENVIRONMENTAL RISK FACTORS FOR ANTIPSYCHOTIC-INDUCED METABOLIC ADVERSE EFFECTS USING ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING IN THE MILLION VETERAN PROGRAM
- Creators
- Ayman Fanous - University of ArizonaSilviu-Alin BacanuBenjamin Mcmahon - Los Alamos National LaboratoryPhilip Harvey - University of MiamiJulie Kreyenbuhl - Baltimore VA Medical CenterStephen Marder - UCLA HealthKhushbu Agarwal - Pacific Northwest National LaboratoryHamed Abbaszadegan - Phoenix VA Health Care SystemSutanay Choudhury - Pacific Northwest National LaboratoryHam Colby - Pacific Northwest National LaboratorySayera Dhaubhadel - Los Alamos National LaboratoryBeauty Kolade - Los Alamos National Laboratory
- Publication Details
- European neuropsychopharmacology, Vol.75, pp.S263-S264
- Academic Unit
- Miller School of Medicine; UMMG Dept of Psychiatry & Behavioral Sciences
- Language
- English
- Resource Type
- Journal article
- Record Identifier
- 991031938417502976