Machine-Learning for Prescription Patterns: Random Forest in the Prediction of Dose and Number of Antipsychotics Prescribed to People with Schizophrenia

OBJECTIVE: We aimed to predict antipsychotic prescription patterns for people with schizophrenia using machine learning (ML) algorithms. METHODS: In a cross-sectional design, a sample of community mental health service users (SUs; n = 368) with a primary diagnosis of schizophrenia was randomly selec...

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Detalles Bibliográficos
Autores principales: Marchi, Mattia, Galli, Giacomo, Fiore, Gianluca, Mackinnon, Andrew, Mattei, Giorgio, Starace, Fabrizio, Galeazzi, Gian M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean College of Neuropsychopharmacology 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9329108/
https://www.ncbi.nlm.nih.gov/pubmed/35879029
http://dx.doi.org/10.9758/cpn.2022.20.3.450

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9329108/
https://www.ncbi.nlm.nih.gov/pubmed/35879029
http://dx.doi.org/10.9758/cpn.2022.20.3.450

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