Artificial neural network approaches to identify maternal and infant risk and asset factors using Peridata.Net: a WI-MIOS study.

Holt, Jeana M; Talsma, AkkeNeel; Johnson, Teresa S; Ehlinger, Timothy

Holt, Jeana M; Talsma, AkkeNeel; Johnson, Teresa S; Ehlinger, Timothy.

Afiliação

Holt JM; School of Nursing, University of Wisconsin-Milwaukee, Milwaukee, WI 53201, United States.
Talsma A; School of Nursing, University of Wisconsin-Milwaukee, Milwaukee, WI 53201, United States.
Johnson TS; School of Nursing, University of Wisconsin-Milwaukee, Milwaukee, WI 53201, United States.
Ehlinger T; School of Nursing, University of Wisconsin-Milwaukee, Milwaukee, WI 53201, United States.

JAMIA Open ; 6(3): ooad080, 2023 Oct.

Article em En | MEDLINE | ID: mdl-37719084

Palavras-chave

health equity; low socioeconomic status; maternalfetal relations; neural networks; perinatal care

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Texto completo: 1 Bases de dados: MEDLINE Tipo de estudo: Etiology_studies / Prognostic_studies / Qualitative_research / Risk_factors_studies Idioma: En Revista: JAMIA Open Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos

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