Szlejf, Cláudia 
; Batista, Andre Filipe de Moraes ; Bertola, Laiss ; Lotufo, Paulo Andrade ; Benseñor, Isabela Judith Martins ; Chiavegatto Filho, Alexandre Dias Porto ; Suemoto, Claudia Kimie
Source: Brazilian Journal of Medical and Biological Research (on line). Unidades: FM, FSP
Subjects: APRENDIZADO COMPUTACIONAL, INTELIGÊNCIA ARTIFICIAL, ATENÇÃO PRIMÁRIA À SAÚDE, PREDIÇÃO, CONHECIMENTO, COMPROMETIMENTO COGNITIVO LEVE
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SZLEJF, Cláudia et al. Data-driven decision making for the screening of cognitive impairment in primary care: a machine learning approach using data from the ELSA-Brasil study. Brazilian Journal of Medical and Biological Research (on line), v. 56, p. art. e12475 [8], 2023Tradução . . Disponível em: https://doi.org/10.1590/1414-431X2023e12475. Acesso em: 03 nov. 2024.APA
Szlejf, C., Batista, A. F. de M., Bertola, L., Lotufo, P. A., Benseñor, I. J. M., Chiavegatto Filho, A. D. P., & Suemoto, C. K. (2023). Data-driven decision making for the screening of cognitive impairment in primary care: a machine learning approach using data from the ELSA-Brasil study. Brazilian Journal of Medical and Biological Research (on line), 56, art. e12475 [8]. doi:10.1590/1414-431X2023e12475NLM
Szlejf C, Batista AF de M, Bertola L, Lotufo PA, Benseñor IJM, Chiavegatto Filho ADP, Suemoto CK. Data-driven decision making for the screening of cognitive impairment in primary care: a machine learning approach using data from the ELSA-Brasil study [Internet]. Brazilian Journal of Medical and Biological Research (on line). 2023 ;56 art. e12475 [8].[citado 2024 nov. 03 ] Available from: https://doi.org/10.1590/1414-431X2023e12475Vancouver
Szlejf C, Batista AF de M, Bertola L, Lotufo PA, Benseñor IJM, Chiavegatto Filho ADP, Suemoto CK. Data-driven decision making for the screening of cognitive impairment in primary care: a machine learning approach using data from the ELSA-Brasil study [Internet]. Brazilian Journal of Medical and Biological Research (on line). 2023 ;56 art. e12475 [8].[citado 2024 nov. 03 ] Available from: https://doi.org/10.1590/1414-431X2023e12475
