Predicting youth at high risk of aging out of foster care using machine learning methods.

Ahn, Eunhye; Gil, Yolanda; Putnam-Hornstein, Emily

Ahn, Eunhye; Gil, Yolanda; Putnam-Hornstein, Emily.

Afiliação

Ahn E; Children's Data Network, Suzanne Dworak-Peck School of Social Work, University of Southern California, United States. Electronic address: eunhyeah@usc.edu.
Gil Y; Information Sciences Institute and Department of Computer Science, University of Southern California, United States.
Putnam-Hornstein E; Children's Data Network, Suzanne Dworak-Peck School of Social Work, University of Southern California, United States; School of Social Work, University of North Carolina at Chapel Hill, United States.

Child Abuse Negl ; 117: 105059, 2021 07.

Article em En | MEDLINE | ID: mdl-33951553

Assuntos

Proteção da Criança; Cuidados no Lar de Adoção; Adolescente; Adulto; Fatores Etários; Criança; Humanos; Aprendizado de Máquina

Palavras-chave

Algorithmic fairness; Machine learning; Permanency; Predictive modeling; Transitional support programs; Youth in foster care

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Proteção da Criança / Cuidados no Lar de Adoção Idioma: En Ano de publicação: 2021 Tipo de documento: Article

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