Prediction models of suicide and non-fatal suicide attempt after discharge from a psychiatric inpatient stay: A machine learning approach on nationwide Danish registers.

Nielsen, Sara Dorthea; Christensen, Rune H B; Madsen, Trine; Karstoft, Karen-Inge; Clemmensen, Line; Benros, Michael E

Nielsen, Sara Dorthea; Christensen, Rune H B; Madsen, Trine; Karstoft, Karen-Inge; Clemmensen, Line; Benros, Michael E.

Afiliação

Nielsen SD; Department of Applied Mathematics and Computer Science, Technical University of Denmark, Kgs. Lyngby, Denmark.
Christensen RHB; Copenhagen Research Center for Biological and Precision Psychiatry, Mental Health Centre Copenhagen, Copenhagen University Hospital, Copenhagen, Denmark.
Madsen T; Copenhagen Research Center for Biological and Precision Psychiatry, Mental Health Centre Copenhagen, Copenhagen University Hospital, Copenhagen, Denmark.
Karstoft KI; Danish Research Institute of Suicide Prevention, Mental Health Center Copenhagen, Copenhagen, Denmark.
Clemmensen L; Section of Epidemiology, University of Copenhagen, Faculty of Health and Medical Sciences, Copenhagen, Denmark.
Benros ME; Department of Psychology, Faculty of Social Sciences, University of Copenhagen, Copenhagen, Denmark.

Acta Psychiatr Scand ; 148(6): 525-537, 2023 12.

Article em En | MEDLINE | ID: mdl-37961014

Assuntos

Alta do Paciente; Tentativa de Suicídio; Humanos; Tentativa de Suicídio/psicologia; Estudos Prospectivos; Pacientes Internados; Aprendizado de Máquina; Dinamarca/epidemiologia

Palavras-chave

machine learning; prediction; psychiatry; suicide; suicide attempt

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Alta do Paciente / Tentativa de Suicídio Limite: Humans País como assunto: Europa Idioma: En Ano de publicação: 2023 Tipo de documento: Article

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