The role of suicide ideation in assessing near-term suicide risk: A machine learning approach.

McMullen, Lauren; Parghi, Neelang; Rogers, Megan L; Yao, Heng; Bloch-Elkouby, Sarah; Galynker, Igor

McMullen, Lauren; Parghi, Neelang; Rogers, Megan L; Yao, Heng; Bloch-Elkouby, Sarah; Galynker, Igor.

Afiliação

McMullen L; Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York City, NY U.S.A. Electronic address: lm3483@tc.columbia.edu.
Parghi N; Courant Institute of Mathematical Sciences, New York University, New York City, NY U.S.A.
Rogers ML; Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York City, NY U.S.A.
Yao H; College of Engineering, University of Florida, Gainesville, FL, U.S.A.
Bloch-Elkouby S; Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York City, NY U.S.A.
Galynker I; Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York City, NY U.S.A.

Psychiatry Res ; 304: 114118, 2021 10.

Article em En | MEDLINE | ID: mdl-34403873

Assuntos

Ideação Suicida; Tentativa de Suicídio; Humanos; Aprendizado de Máquina; Fatores de Risco; Autorrelato

Palavras-chave

Machine learning; Suicide; Suicide crisis syndrome

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Tentativa de Suicídio / Ideação Suicida Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google