Source: Brazilian Journal of Medical and Biological Research. Unidades: FSP, IME, FM
Subjects: INTELIGÊNCIA ARTIFICIAL, ALGORITMOS, ATENÇÃO PRIMÁRIA À SAÚDE, TRIAGEM, HEPATOPATIAS, FÍGADO GORDUROSO
ABNT
GOULART, Alessandra Carvalho et al. The utility of an artificial intelligence model based on decision tree and evolution algorithm to evaluate steatotic liver disease in a primary care setting. Brazilian Journal of Medical and Biological Research, v. 58, p. 1-8, 2025Tradução . . Disponível em: https://doi.org/10.1590/1414-431X2025e14538. Acesso em: 01 jul. 2025.APA
Goulart, A. C., Alencar, A. P., Tunes, G., Bianchi, L. L. T., Miname, M. H., Padilha, C. M., et al. (2025). The utility of an artificial intelligence model based on decision tree and evolution algorithm to evaluate steatotic liver disease in a primary care setting. Brazilian Journal of Medical and Biological Research, 58, 1-8. doi:10.1590/1414-431X2025e14538NLM
Goulart AC, Alencar AP, Tunes G, Bianchi LLT, Miname MH, Padilha CM, Pescuma JMS, Rodrigues ALCC, Henares BB, Almeida MS de, Machado TAO, Syllos DH, Wang YP, Rienzo M. The utility of an artificial intelligence model based on decision tree and evolution algorithm to evaluate steatotic liver disease in a primary care setting [Internet]. Brazilian Journal of Medical and Biological Research. 2025 ; 58 1-8.[citado 2025 jul. 01 ] Available from: https://doi.org/10.1590/1414-431X2025e14538Vancouver
Goulart AC, Alencar AP, Tunes G, Bianchi LLT, Miname MH, Padilha CM, Pescuma JMS, Rodrigues ALCC, Henares BB, Almeida MS de, Machado TAO, Syllos DH, Wang YP, Rienzo M. The utility of an artificial intelligence model based on decision tree and evolution algorithm to evaluate steatotic liver disease in a primary care setting [Internet]. Brazilian Journal of Medical and Biological Research. 2025 ; 58 1-8.[citado 2025 jul. 01 ] Available from: https://doi.org/10.1590/1414-431X2025e14538