Source: npj Aging. Unidade: FSP
Subjects: ENVELHECIMENTO, MORTALIDADE, APRENDIZADO COMPUTACIONAL, ESTUDOS LONGITUDINAIS, MODO DE VIDA, IDOSOS, BRASIL
ABNT
DELPINO, Felipe Mendes et al. Predicting all-cause mortality with machine learning among Brazilians aged 50 and over: results from The Brazilian Longitudinal Study of Ageing (ELSI-Brazil). npj Aging, v. 11, 2025Tradução . . Disponível em: https://repositorio.usp.br/directbitstream/f48a0602-e5e4-4012-a37a-0b7942587aa4/HEP_13_2025.pdf. Acesso em: 06 jan. 2026.APA
Delpino, F. M., Chiavegatto Filho, A. D. P., Torres, J. L., Andrade, F. B. de, Lima-Costa, M. F., & Nunes, B. P. (2025). Predicting all-cause mortality with machine learning among Brazilians aged 50 and over: results from The Brazilian Longitudinal Study of Ageing (ELSI-Brazil). npj Aging, 11. doi:10.1038/s41514-025-00210-7NLM
Delpino FM, Chiavegatto Filho ADP, Torres JL, Andrade FB de, Lima-Costa MF, Nunes BP. Predicting all-cause mortality with machine learning among Brazilians aged 50 and over: results from The Brazilian Longitudinal Study of Ageing (ELSI-Brazil) [Internet]. npj Aging. 2025 ;11[citado 2026 jan. 06 ] Available from: https://repositorio.usp.br/directbitstream/f48a0602-e5e4-4012-a37a-0b7942587aa4/HEP_13_2025.pdfVancouver
Delpino FM, Chiavegatto Filho ADP, Torres JL, Andrade FB de, Lima-Costa MF, Nunes BP. Predicting all-cause mortality with machine learning among Brazilians aged 50 and over: results from The Brazilian Longitudinal Study of Ageing (ELSI-Brazil) [Internet]. npj Aging. 2025 ;11[citado 2026 jan. 06 ] Available from: https://repositorio.usp.br/directbitstream/f48a0602-e5e4-4012-a37a-0b7942587aa4/HEP_13_2025.pdf
