Recommender system based on collaborative filtering for personalized dietary advice: a cross-sectional analysis of the ELSA-Brasil Study (2022)
- Authors:
- USP affiliated authors: SANTOS, ITAMAR DE SOUZA - HU ; LOTUFO, PAULO ANDRADE - FM ; BENSEÑOR, ISABELA JUDITH MARTINS - FM ; SILVA, VANDERLEI CARNEIRO DA - HU
- Unidades: HU; FM
- DOI: 10.3390/ijerph192214934
- Subjects: SISTEMAS DE RECOMENDAÇÃO; DIETA; ALGORITMOS
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título do periódico: International Journal of Environmental Research and Public Health
- ISSN: 1661-7827
- Volume/Número/Paginação/Ano: v. 19, n. 22, p. 14934, nov. 2022
- Este periódico é de acesso aberto
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: gold
- Licença: cc-by
-
ABNT
SILVA, Vanderlei Carneiro da et al. Recommender system based on collaborative filtering for personalized dietary advice: a cross-sectional analysis of the ELSA-Brasil Study. International Journal of Environmental Research and Public Health, v. no 2022, n. 22, p. 14934, 2022Tradução . . Disponível em: https://doi.org/10.3390/ijerph192214934. Acesso em: 23 maio 2024. -
APA
Silva, V. C. da, Gorgulho, B., Marchioni, D. M. L., Alvim, S. M., Giatti, L., Araujo, T. A. de, et al. (2022). Recommender system based on collaborative filtering for personalized dietary advice: a cross-sectional analysis of the ELSA-Brasil Study. International Journal of Environmental Research and Public Health, no 2022( 22), 14934. doi:10.3390/ijerph192214934 -
NLM
Silva VC da, Gorgulho B, Marchioni DML, Alvim SM, Giatti L, Araujo TA de, Alonso AC, Santos I de S, Lotufo PA, Benseñor IJM. Recommender system based on collaborative filtering for personalized dietary advice: a cross-sectional analysis of the ELSA-Brasil Study [Internet]. International Journal of Environmental Research and Public Health. 2022 ; no 2022( 22): 14934.[citado 2024 maio 23 ] Available from: https://doi.org/10.3390/ijerph192214934 -
Vancouver
Silva VC da, Gorgulho B, Marchioni DML, Alvim SM, Giatti L, Araujo TA de, Alonso AC, Santos I de S, Lotufo PA, Benseñor IJM. Recommender system based on collaborative filtering for personalized dietary advice: a cross-sectional analysis of the ELSA-Brasil Study [Internet]. International Journal of Environmental Research and Public Health. 2022 ; no 2022( 22): 14934.[citado 2024 maio 23 ] Available from: https://doi.org/10.3390/ijerph192214934 - Níveis elevados de netrina-1 e IL-1beta em mulheres idosas com SCA: pior prognóstico no acompanhamento de dois anos
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Informações sobre o DOI: 10.3390/ijerph192214934 (Fonte: oaDOI API)
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