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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Detalles Bibliográficos
Autores principales: Li, Yange, Zhang, Lei, Zhang, Yan, Wen, Hui, Huang, Jingjing, Shen, Yifeng, Li, Huafang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2021
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7989048/
https://www.ncbi.nlm.nih.gov/pubmed/33776440
http://dx.doi.org/10.2147/NDT.S280757

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7989048/
https://www.ncbi.nlm.nih.gov/pubmed/33776440
http://dx.doi.org/10.2147/NDT.S280757

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