Predicting the naturalistic course of depression from a wide range of clinical, psychological, and biological data : a machine learning approach
Abstract
Many variables have been linked to different course trajectories of depression. These findings, however, are based on group comparisons with unknown translational value. This study evaluated the prognostic value of a wide range of clinical, psychological, and biological characteristics for predicting the course of depression and aimed to identify the best set of predictors. Eight hundred four unipolar depressed patients (major depressive...
Paper Details
Title
Predicting the naturalistic course of depression from a wide range of clinical, psychological, and biological data : a machine learning approach
Published Date
Nov 5, 2018
Journal
Volume
8
Issue
1
Pages
241 - 241
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