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

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作者： Mattia,Marchi ^[1] ; Giacomo,Galli ^[1] ; Gianluca,Fiore ^[1] ; Andrew,Mackinnon ^[2] ; Giorgio,Mattei ^[1] ; Fabrizio,Starace ^[3] ; Gian M,Galeazzi ^[4]

作者单位： Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy. ^[1] Black Dog Institute, University of New South Wales, Sydney, NSW, Australia. ^[2] Department of Mental Health and Drug Abuse, Azienda Unità Sanitaria Locale (AUSL) Modena, Modena, Italy. ^[3] Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy.;Department of Mental Health and Drug Abuse, Azienda Unità Sanitaria Locale (AUSL) Modena, Modena, Italy.;Dipartimento di Salute Mentale e Dipendenze Patologiche, AUSL-IRCSS di Reggio Emilia, Reggio Emilia, Italy. ^[4]

关键词 Antipsychotic drugs Drug polytherapy Drug prescription Machine learning Schizophrenia

DOI 10.9758/cpn.2022.20.3.450

PMID 35879029

发布时间 2024-09-28

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Clinical psychopharmacology and neuroscience

2022年20卷3期

450-461页

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

Clinical psychopharmacology and neuroscience

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Clinical psychopharmacology and neuroscience

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

Clinical psychopharmacology and neuroscience

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Clinical psychopharmacology and neuroscience

相关期刊

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