Using Machine Learning to Predict Antidepressant Treatment Outcome From Electronic Health Records

Using Machine Learning to Predict Antidepressant Treatment Outcome From Electronic Health Records

Objective To evaluate if a machine learning approach can accurately predict antidepressant treatment outcome using electronic health records (EHRs) from patients with depression. Method This study examined 808 patients with depression at a New York City‐based outpatient mental health clinic between...

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Bibliographic Details
Main Authors: Zhenxing Xu, Veer Vekaria, Fei Wang, Judith Cukor, Chang Su, Prakash Adekkanattu, Pascal Brandt, Guoqian Jiang, Richard C. Kiefer, Yuan Luo, Luke V. Rasmussen, Jie Xu, Yunyu Xiao, George Alexopoulos, Jyotishman Pathak
Format: Article
Language:English
Published: Wiley 2023-12-01
Series:Psychiatric Research and Clinical Practice
Online Access:https://doi.org/10.1176/appi.prcp.20220015

Internet

https://doi.org/10.1176/appi.prcp.20220015

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