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A Random Forest Model for Predicting Social Functional Improvement in Chinese Patients with Schizophrenia After 3 Months of Atypical Antipsychotic Monopharmacy: A Cohort Study
PURPOSE: Impaired social functions contribute to the burden of schizophrenia patients and their families, but predictive tools of social functioning prognosis and specific factors are undefined in Chinese clinical practice. This article explores a machine learning tool to identify whether patients w...
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| Publicado no: | Neuropsychiatr Dis Treat |
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| Main Authors: | , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Dove
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7989048/ https://ncbi.nlm.nih.gov/pubmed/33776440 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.2147/NDT.S280757 |
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