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

Marchi, Mattia; Galli, Giacomo; Fiore, Gianluca; Mackinnon, Andrew; Mattei, Giorgio; Starace, Fabrizio; Galeazzi, Gian M

Marchi, Mattia; Galli, Giacomo; Fiore, Gianluca; Mackinnon, Andrew; Mattei, Giorgio; Starace, Fabrizio; Galeazzi, Gian M.

Afiliação

Marchi M; Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy.
Galli G; Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy.
Fiore G; Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy.
Mackinnon A; Black Dog Institute, University of New South Wales, Sydney, NSW, Australia.
Mattei G; Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy.
Starace F; Department of Mental Health and Drug Abuse, Azienda Unità Sanitaria Locale (AUSL) Modena, Modena, Italy.
Galeazzi GM; Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy.

Clin Psychopharmacol Neurosci ; 20(3): 450-461, 2022 Aug 31.

Article em En | MEDLINE | ID: mdl-35879029

Palavras-chave

Antipsychotic drugs; Drug polytherapy; Drug prescription; Machine learning; Schizophrenia

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Clinical_trials / Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article

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