Subjects: INTELIGÊNCIA ARTIFICIAL, CARDIOPATIAS CONGÊNITAS, PERÍODO PRÉ-OPERATÓRIO, ESTUDOS RETROSPECTIVOS, AVALIAÇÃO DE RISCO
ABNT
CHANG JUNIOR, João et al. Improving preoperative risk-of-death prediction in surgery congenital heart defects using artificial intelligence model: A pilot study. PLOS ONE, v. 15, n. 9, 2020Tradução . . Disponível em: https://doi.org/10.1371/journal.pone.0238199. Acesso em: 03 nov. 2024.APA
Chang Junior, J., Binuesa, F., Caneo, L. F., Turquetto, A. L. R., Arita, E. C. T. C., Barbosa, A. C., et al. (2020). Improving preoperative risk-of-death prediction in surgery congenital heart defects using artificial intelligence model: A pilot study. PLOS ONE, 15( 9). doi:10.1371/journal.pone.0238199NLM
Chang Junior J, Binuesa F, Caneo LF, Turquetto ALR, Arita ECTC, Barbosa AC, Fernandes AM da S, Trindade EM, Jatene FB, Jatene MB. Improving preoperative risk-of-death prediction in surgery congenital heart defects using artificial intelligence model: A pilot study [Internet]. PLOS ONE. 2020 ; 15( 9):[citado 2024 nov. 03 ] Available from: https://doi.org/10.1371/journal.pone.0238199Vancouver
Chang Junior J, Binuesa F, Caneo LF, Turquetto ALR, Arita ECTC, Barbosa AC, Fernandes AM da S, Trindade EM, Jatene FB, Jatene MB. Improving preoperative risk-of-death prediction in surgery congenital heart defects using artificial intelligence model: A pilot study [Internet]. PLOS ONE. 2020 ; 15( 9):[citado 2024 nov. 03 ] Available from: https://doi.org/10.1371/journal.pone.0238199