Temporally informed random forests for suicide risk prediction.

Bayramli, Ilkin; Castro, Victor; Barak-Corren, Yuval; Madsen, Emily M; Nock, Matthew K; Smoller, Jordan W; Reis, Ben Y

Bayramli, Ilkin; Castro, Victor; Barak-Corren, Yuval; Madsen, Emily M; Nock, Matthew K; Smoller, Jordan W; Reis, Ben Y.

Afiliación

Bayramli I; Predictive Medicine Group, Computational Health Informatics Program, Boston Children's Hospital, Boston, Massachusetts, USA.
Castro V; Harvard University, Cambridge, Massachusetts, USA.
Barak-Corren Y; Mass General Brigham Research Information Science and Computing, Boston, Massachusetts, USA.
Madsen EM; Department of Psychiatry, Massachusetts General Hospital, Boston, Massachusetts, USA.
Nock MK; Predictive Medicine Group, Computational Health Informatics Program, Boston Children's Hospital, Boston, Massachusetts, USA.
Smoller JW; Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA.
Reis BY; Department of Psychiatry, Center for Precision Psychiatry, Massachusetts General Hospital, Boston, Massachusetts, USA.

J Am Med Inform Assoc ; 29(1): 62-71, 2021 12 28.

Article en En | MEDLINE | ID: mdl-34725687

Asunto(s)

Registros Electrónicos de Salud; Suicidio; Teorema de Bayes; Humanos; Medición de Riesgo

Palabras clave

clinical risk; modeling; random forest; suicide; temporal

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Contexto en salud: 1_ASSA2030 Problema de salud: 1_sistemas_informacao_saude Asunto principal: Suicidio / Registros Electrónicos de Salud Tipo de estudio: Clinical_trials / Etiology_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: J Am Med Inform Assoc Asunto de la revista: INFORMATICA MEDICA Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos

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