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Refining Prediction in Treatment-Resistant Depression: Results of Machine Learning Analyses in the TRD III Sample.

著者 Kautzky A , Dold M , Bartova L , Spies M , Vanicek T , Souery D , Montgomery S , Mendlewicz J , Zohar J , Fabbri C , Serretti A , Lanzenberger R , Kasper S
J Clin Psychiatry.2017 Dec 05 ; 79(1):.
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The study objective was to generate a prediction model for treatment-resistant depression (TRD) using machine learning featuring a large set of 47 clinical and sociodemographic predictors of treatment outcome.
PMID: 29228516 [PubMed - as supplied by publisher]
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