Evaluation of a Machine Learning Model Based on Pretreatment Symptoms and Electroencephalographic Features to Predict Outcomes of Antidepressant Treatment in Adults With Depression
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DOI: 10.1001/jamanetworkopen.2020.6653
Abstract: Key Points Question Can machine learning models predict improvement of various depressive symptoms with antidepressant treatment based on pretreatment symptom scores and electroencephalographic measures? Findings In this prognostic study, using the machine learning approach of… read more here.
Keywords: machine; machine learning; based pretreatment; antidepressant treatment ... See more keywords