Clustering analysis and machine learning algorithms in the prediction of dietary patterns: Cross-sectional results of the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil) (2022)
- Authors:
- USP affiliated authors: MARCHIONI, DIRCE MARIA LOBO - FSP ; SANTOS, ITAMAR DE SOUZA - HU ; LOTUFO, PAULO ANDRADE - FM ; BENSEÑOR, ISABELA JUDITH MARTINS - FM ; GORGULHO, BARTIRA MENDES - FSP ; SILVA, VANDERLEI CARNEIRO DA - FSP ; ARAUJO, TÂNIA APARECIDA DE - FSP
- Unidades: FSP; HU; FM
- DOI: 10.1111/jhn.12992
- Subjects: COMPORTAMENTO ALIMENTAR; ALGORITMOS; SAÚDE DO ADULTO; APRENDIZADO COMPUTACIONAL
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher place: United Kingdom
- Date published: 2022
- Source:
- Título do periódico: Journal of Human Nutrition and Dietetics
- ISSN: 0952-3871
- Volume/Número/Paginação/Ano: v.35, n.5, p. 883-894, 2022
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
SILVA, Vanderlei Carneiro da et al. Clustering analysis and machine learning algorithms in the prediction of dietary patterns: Cross-sectional results of the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil). Journal of Human Nutrition and Dietetics, v. 35, n. 5, p. 883-894, 2022Tradução . . Disponível em: https://doi.org/10.1111/jhn.12992. Acesso em: 05 jun. 2024. -
APA
Silva, V. C. da, Gorgulho, B., Marchioni, D. M. L., Araujo, T. A. de, Santos, I. de S., Lotufo, P. A., & Bensenor, I. M. (2022). Clustering analysis and machine learning algorithms in the prediction of dietary patterns: Cross-sectional results of the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil). Journal of Human Nutrition and Dietetics, 35( 5), 883-894. doi:10.1111/jhn.12992 -
NLM
Silva VC da, Gorgulho B, Marchioni DML, Araujo TA de, Santos I de S, Lotufo PA, Bensenor IM. Clustering analysis and machine learning algorithms in the prediction of dietary patterns: Cross-sectional results of the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil) [Internet]. Journal of Human Nutrition and Dietetics. 2022 ;35( 5): 883-894.[citado 2024 jun. 05 ] Available from: https://doi.org/10.1111/jhn.12992 -
Vancouver
Silva VC da, Gorgulho B, Marchioni DML, Araujo TA de, Santos I de S, Lotufo PA, Bensenor IM. Clustering analysis and machine learning algorithms in the prediction of dietary patterns: Cross-sectional results of the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil) [Internet]. Journal of Human Nutrition and Dietetics. 2022 ;35( 5): 883-894.[citado 2024 jun. 05 ] Available from: https://doi.org/10.1111/jhn.12992 - Recommender system based on collaborative filtering for personalized dietary advice: a cross-sectional analysis of the ELSA-Brasil Study
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Informações sobre o DOI: 10.1111/jhn.12992 (Fonte: oaDOI API)
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