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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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| Wydane w: | Transl Psychiatry |
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| Główni autorzy: | , , , , , , , |
| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
Nature Publishing Group UK
2018
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| Hasła przedmiotowe: | |
| Dostęp online: | 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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