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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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Vydáno v:Transl Psychiatry
Hlavní autoři: 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
Médium: Artigo
Jazyk:Inglês
Vydáno: Nature Publishing Group UK 2018
Témata:
On-line přístup: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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