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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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| Publicado no: | Transl Psychiatry |
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| Main Authors: | , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Publishing Group UK
2018
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| Assuntos: | |
| Acesso em linha: | 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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