Source: Brazilian Journal of Medical and Biological Research. Unidades: FM, IME, FSP
Subjects: APRENDIZADO COMPUTACIONAL, DOENÇAS CARDIOVASCULARES, ESTATÍSTICA APLICADA
ABNT
AMORIM, Jonatas Lima de et al. A machine learning approach to predict positive coronary artery calcium scores in individuals with diabetes: a cross-sectional analysis of ELSA-Brasil baseline data. Brazilian Journal of Medical and Biological Research, v. 58, n. artigo e14986, p. 1-8, 2025Tradução . . Disponível em: https://doi.org/10.1590/1414-431X2025e14986. Acesso em: 22 ago. 2025.APA
Amorim, J. L. de, Bensenor, I., Alencar, A. P., Pereira, A. da C., Goulart, A. C., Lotufo, P. A., & Santos, I. de S. (2025). A machine learning approach to predict positive coronary artery calcium scores in individuals with diabetes: a cross-sectional analysis of ELSA-Brasil baseline data. Brazilian Journal of Medical and Biological Research, 58( artigo e14986), 1-8. doi:10.1590/1414-431X2025e14986NLM
Amorim JL de, Bensenor I, Alencar AP, Pereira A da C, Goulart AC, Lotufo PA, Santos I de S. A machine learning approach to predict positive coronary artery calcium scores in individuals with diabetes: a cross-sectional analysis of ELSA-Brasil baseline data [Internet]. Brazilian Journal of Medical and Biological Research. 2025 ; 58( artigo e14986): 1-8.[citado 2025 ago. 22 ] Available from: https://doi.org/10.1590/1414-431X2025e14986Vancouver
Amorim JL de, Bensenor I, Alencar AP, Pereira A da C, Goulart AC, Lotufo PA, Santos I de S. A machine learning approach to predict positive coronary artery calcium scores in individuals with diabetes: a cross-sectional analysis of ELSA-Brasil baseline data [Internet]. Brazilian Journal of Medical and Biological Research. 2025 ; 58( artigo e14986): 1-8.[citado 2025 ago. 22 ] Available from: https://doi.org/10.1590/1414-431X2025e14986