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

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 predictin...

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Bibliografiske detaljer
Udgivet i:Transl Psychiatry
Main Authors: Dinga, Richard, Marquand, Andre F., Veltman, Dick J., Beekman, Aartjan T. F., Schoevers, Robert A., van Hemert, Albert M., Penninx, Brenda W. J. H., Schmaal, Lianne
Format: Artigo
Sprog:Inglês
Udgivet: Nature Publishing Group UK 2018
Fag:
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC6218451/
https://ncbi.nlm.nih.gov/pubmed/30397196
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41398-018-0289-1
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