Predictors of suicide ideation among South Korean adolescents: A machine learning approach.

Donnelly, Hayoung Kim; Han, Yoonsun; Kim, Suna; Lee, Dong Hun

Donnelly, Hayoung Kim; Han, Yoonsun; Kim, Suna; Lee, Dong Hun.

Afiliação

Donnelly HK; Boston University, Department of Counseling Psychology and Applied Human Development, USA. Electronic address: hyjkim@bu.edu.
Han Y; Seoul National University, Department of Social Welfare, South Korea. Electronic address: yshan@snu.ac.kr.
Kim S; Seoul National University, Department of International Studies, South Korea. Electronic address: akim22@snu.ac.kr.
Lee DH; Sungkyunkwan University, Traumatic Stress Center, Department of Education, South Korea. Electronic address: dhlee8@skku.edu.

J Affect Disord ; 329: 557-565, 2023 05 15.

Article em En | MEDLINE | ID: mdl-36828148

Assuntos

Aprendizado de Máquina; Ideação Suicida; Humanos; Adolescente; Teorema de Bayes; Fatores de Risco; República da Coreia/epidemiologia

Palavras-chave

Adolescents; Machine learning; Screening; South Korea; Suicide

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Ideação Suicida / Aprendizado de Máquina Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Adolescent / Humans País/Região como assunto: Asia Idioma: En Revista: J Affect Disord Ano de publicação: 2023 Tipo de documento: Article

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