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Personalized Prognostic Prediction of Treatment Outcome for Depressed Patients in a Naturalistic Psychiatric Hospital Setting: A Comparison of Machine Learning Approaches
OBJECTIVE: Research on predictors of treatment outcome in depression has largely derived from randomized clinical trials involving strict standardization of treatments, stringent patient exclusion criteria and careful selection and supervision of study clinicians. The extent to which findings from s...
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| Publicado en: | J Consult Clin Psychol |
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| Autores principales: | , , , , , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
2020
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6924628/ https://ncbi.nlm.nih.gov/pubmed/31841022 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1037/ccp0000451 |
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