Source: Scientific Reports. Unidade: FSP
Subjects: COVID-19, PROGNÓSTICO, BIOMARCADORES, PROTOCOLOS CLÍNICOS, SÃO PAULO
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FERNANDES, Fernando Timoteo et al. A multipurpose machine learning approach to predict COVID-19 negative prognosis in São Paulo, Brazil. Scientific Reports, v. 11, p. art. 3343 [7], 2021Tradução . . Disponível em: https://doi.org/10.1038/s41598-021-82885-y. Acesso em: 20 out. 2024.APA
Fernandes, F. T., Oliveira, T. A. de, Teixeira, C. E., Batista, A. F. de M., Costa, G. D., & Chiavegatto Filho, A. D. P. (2021). A multipurpose machine learning approach to predict COVID-19 negative prognosis in São Paulo, Brazil. Scientific Reports, 11, art. 3343 [7]. doi:10.1038/s41598-021-82885-yNLM
Fernandes FT, Oliveira TA de, Teixeira CE, Batista AF de M, Costa GD, Chiavegatto Filho ADP. A multipurpose machine learning approach to predict COVID-19 negative prognosis in São Paulo, Brazil [Internet]. Scientific Reports. 2021 ;11 art. 3343 [7].[citado 2024 out. 20 ] Available from: https://doi.org/10.1038/s41598-021-82885-yVancouver
Fernandes FT, Oliveira TA de, Teixeira CE, Batista AF de M, Costa GD, Chiavegatto Filho ADP. A multipurpose machine learning approach to predict COVID-19 negative prognosis in São Paulo, Brazil [Internet]. Scientific Reports. 2021 ;11 art. 3343 [7].[citado 2024 out. 20 ] Available from: https://doi.org/10.1038/s41598-021-82885-y