Predicting How Well Adolescents Get Along with Peers and Teachers: A Machine Learning Approach.

Ali, Farhan; Ang, Rebecca P

Ali, Farhan; Ang, Rebecca P.

Afiliação

Ali F; Learning Sciences and Assessment Academic Group, National Institute of Education, Nanyang Technological University, Singapore, Singapore. farhan.ali@nie.edu.sg.
Ang RP; Psychology and Child & Human Development Academic Group, National Institute of Education, Nanyang Technological University, Singapore, Singapore.

J Youth Adolesc ; 51(7): 1241-1256, 2022 Jul.

Article em En | MEDLINE | ID: mdl-35377099

Assuntos

Comportamento do Adolescente; Grupo Associado; Adolescente; Feminino; Humanos; Aprendizado de Máquina; Masculino; Influência dos Pares; Psicopatologia

Palavras-chave

Adolescents; Machine learning; Psychopathology; Relationships; Youth self-report

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Grupo Associado / Comportamento do Adolescente Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Adolescent / Female / Humans / Male Idioma: En Ano de publicação: 2022 Tipo de documento: Article

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