Creating sparser prediction models of treatment outcome in depression: a proof-of-concept study using simultaneous feature selection and hyperparameter tuning

HIGHLIGHTS

• who: Nicolas Rost from the Two different data sets were included in our analysesFirst, as a real-world clinical data set, we used data from the Munich Antidepressant Response Signature (MARS) project [19], a multicenter naturalistic inpatient study, in which patients diagnosed with a single depressive episode, recurrent depressive disorder, or bipolar disorder were observed during their hospitalization. Further information on the study protocol and exclusion criteria have been published elsewhere [19]. The MARS study was approved by the ethics committee of the Ludwig Maximilian University in Munich, Germany, and conducted according to the Declaration of Helsinki . . .
  

   

  

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