Improving preoperative risk-of-death prediction in surgery congenital heart defects using artificial intelligence model: A pilot study (2020)
- Authors:
- USP affiliated authors: JATENE, FABIO BISCEGLI - FM ; JATENE, MARCELO BISCEGLI - FM
- Unidade: FM
- DOI: 10.1371/journal.pone.0238199
- Subjects: INTELIGÊNCIA ARTIFICIAL; CARDIOPATIAS CONGÊNITAS; PERÍODO PRÉ-OPERATÓRIO; ESTUDOS RETROSPECTIVOS; AVALIAÇÃO DE RISCO
- Agências de fomento:
- Coordenacao de Aperfeicoamento de Pessoal de Nivel Superior do Ministerio de Educacao -Program CAPESCAPES [240/18]
- Fundacao Amparo a Pesquisa do Estado de Sao Paulo -Brasil (FAPESP)Fundacao de Amparo a Pesquisa do Estado de Sao Paulo (FAPESP) [2017/26002-0]
- Ministerio da Saude -Politicas Publicas do SistemaUnico de Saude -Brasil (PPSUS) [2016/15039-8]
- Language: Inglês
- Imprenta:
- Publisher place: San Francisco
- Date published: 2020
- Source:
- Este periódico é de acesso aberto
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: gold
- Licença: cc-by
-
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: 19 abr. 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.0238199 -
NLM
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 abr. 19 ] Available from: https://doi.org/10.1371/journal.pone.0238199 -
Vancouver
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 abr. 19 ] Available from: https://doi.org/10.1371/journal.pone.0238199 - Atrioventricular Valve Repair in Single Ventricle Physiology: Timing Matters
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Informações sobre o DOI: 10.1371/journal.pone.0238199 (Fonte: oaDOI API)
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