Predicting crime during or after psychiatric care: Evaluating machine learning for risk assessment using the Danish patient registries.

Trinhammer, M L; Merrild, A C Holst; Lotz, J F; Makransky, G

Trinhammer, M L; Merrild, A C Holst; Lotz, J F; Makransky, G.

Afiliación

Trinhammer ML; Department of Psychology, University of Copenhagen, Øster Farimagsgade 2A, 1353, Copenhagen, Denmark. Electronic address: martin.lund.trinhammer@psy.ku.dk.
Merrild ACH; DTU COMPUTE, Technical University of Denmark, Building 324, 2800, Kongens Lyngby, Denmark.
Lotz JF; The ROCKWOOL Foundation, Ny Kongensgade 6, 1472, Copenhagen, Denmark; Department of Computer Science, University of Copenhagen, Universitetsparken 1, 2100, Copenhagen, Denmark.
Makransky G; Department of Psychology, University of Copenhagen, Øster Farimagsgade 2A, 1353, Copenhagen, Denmark.

J Psychiatr Res ; 152: 194-200, 2022 08.

Article en En | MEDLINE | ID: mdl-35752071

Asunto(s)

Cuidados Posteriores; Alta del Paciente; Adulto; Crimen; Dinamarca/epidemiología; Humanos; Aprendizaje Automático; Sistema de Registros; Medición de Riesgo

Palabras clave

Computational psychiatry; Forensic psychiatry; Machine learning; Precision psychiatry; Statistical risk assessment

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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Alta del Paciente / Cuidados Posteriores Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies País/Región como asunto: Europa Idioma: En Revista: J Psychiatr Res Año: 2022 Tipo del documento: Article

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