Login / Signup

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

Zhenxing XuVeer VekariaFei WangJudith CukorChang SuPrakash AdekkanattuPascal BrandtGuoqian JiangRichard C KieferYuan LuoLuke V RasmussenJie XuYunyu XiaoGeorge AlexopoulosJyotishman Pathak
Published in: Psychiatric research and clinical practice (2023)
The results demonstrate the potential utility of using ML in longitudinal EHRs to predict antidepressant treatment outcome. Our predictive tool holds the promise to accelerate personalized medical management in patients with psychiatric illnesses.
Keyphrases
  • electronic health record
  • major depressive disorder
  • clinical decision support
  • healthcare
  • mental health
  • adverse drug
  • cross sectional
  • big data
  • risk assessment
  • deep learning