Predicting Outcomes of Antidepressant Treatment in Community Practice Settings.

Journal: Psychiatric services (Washington, D.C.)
PMID: 38050444

Abstract

OBJECTIVE: The authors examined whether machine-learning models could be used to analyze data from electronic health records (EHRs) to predict patients' responses to antidepressant medications.

Authors

  • Gregory E Simon
    Kaiser Permanente Washington Health Research Institute, Seattle, WA, United States of America.
  • Maricela Cruz
    Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA.
  • Jennifer M Boggs
    Kaiser Permanente Washington Health Research Institute, Seattle (Simon, Cruz, Shortreed, Coley); Kaiser Permanente Colorado Institute for Health Research, Aurora (Boggs, Beck).
  • Arne Beck
    Kaiser Permanente Washington Health Research Institute, Seattle (Simon, Cruz, Shortreed, Coley); Kaiser Permanente Colorado Institute for Health Research, Aurora (Boggs, Beck).
  • Susan M Shortreed
    Kaiser Permanente Washington Health Research Institute, Seattle, Washington, USA.
  • R Yates Coley
    Kaiser Permanente Washington Health Research Institute, Seattle (Simon, Cruz, Shortreed, Coley); Kaiser Permanente Colorado Institute for Health Research, Aurora (Boggs, Beck).

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