Predicting the naturalistic course of depression from a wide range of clinical, psychological, and biological data: a machine learning approach

HIGHLIGHTS

  • who: Richard Dinga from the (UNIVERSITY) have published the research: Predicting the naturalistic course of depression from a wide range of clinical, psychological, and biological data: a machine learning approach, in the Journal: (JOURNAL)
  • what: 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. The authors extended previous studies aimed at identifying predictors of the naturalistic course of depression by including additional psychological and biological predictors and by employing a novel stability selection . . .

     

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