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Disorganization domain as a putative predictor of Treatment Resistant Schizophrenia (TRS) diagnosis: A machine learning approach.

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第一作者： Annarita,Barone

第一单位： Unit of Treatment Resistant Psychosis and Laboratory of Molecular and Translational Psychiatry, Section of Psychiatry, Department of Neuroscience, Reproductive Science and Odontostomatology, University School of Medicine "Federico II", Naples, Italy.

作者： Annarita,Barone ^[1] ; Michele,De Prisco ^[1] ; Benedetta,Altavilla ^[1] ; Camilla,Avagliano ^[1] ; Raffaele,Balletta ^[1] ; Elisabetta Filomena,Buonaguro ^[1] ; Mariateresa,Ciccarelli ^[1] ; Luigi,D'Ambrosio ^[1] ; Sara,Giordano ^[1] ; Gianmarco,Latte ^[1] ; Marta,Matrone ^[1] ; Federica,Milandri ^[1] ; Danilo Notar,Francesco ^[1] ; Licia,Vellucci ^[1] ; Andrea,de Bartolomeis ^[2]

作者单位： Unit of Treatment Resistant Psychosis and Laboratory of Molecular and Translational Psychiatry, Section of Psychiatry, Department of Neuroscience, Reproductive Science and Odontostomatology, University School of Medicine "Federico II", Naples, Italy. ^[1] Unit of Treatment Resistant Psychosis and Laboratory of Molecular and Translational Psychiatry, Section of Psychiatry, Department of Neuroscience, Reproductive Science and Odontostomatology, University School of Medicine "Federico II", Naples, Italy. Electronic address: adebarto@unina.it. ^[2]

关键词 Antipsychotics Clozapine Disorganization Machine learning Schizophrenia Treatment resistant schizophrenia

医学主题词抗精神病药(Antipsychotic Agents);氯氮平(Clozapine);横断面研究(Cross-Sectional Studies);人类(Humans);回顾性研究(Retrospective Studies);精神分裂症(Schizophrenia)

DOI 10.1016/j.jpsychires.2022.09.044

PMID 36206601

发布时间 2022-12-16

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