Source: Scientific Reports. Unidade: FSP
Subjects: APRENDIZADO COMPUTACIONAL, ALGORITMOS, COVID-19, HOSPITAIS, ESTUDOS DE COORTES
ABNT
WICHMANN, Roberta Moreira e FERNANDES, Fernando Timoteo e CHIAVEGATTO FILHO, Alexandre Dias Porto. Improving the performance of machine learning algorithms for health outcomes predictions in multicentric cohorts. Scientific Reports, v. 13, p. art. 1022 [8], 2023Tradução . . Disponível em: https://doi.org/10.1038/s41598-022-26467-6. Acesso em: 06 set. 2024.APA
Wichmann, R. M., Fernandes, F. T., & Chiavegatto Filho, A. D. P. (2023). Improving the performance of machine learning algorithms for health outcomes predictions in multicentric cohorts. Scientific Reports, 13, art. 1022 [8]. doi:10.1038/s41598-022-26467-6NLM
Wichmann RM, Fernandes FT, Chiavegatto Filho ADP. Improving the performance of machine learning algorithms for health outcomes predictions in multicentric cohorts [Internet]. Scientific Reports. 2023 ;13 art. 1022 [8].[citado 2024 set. 06 ] Available from: https://doi.org/10.1038/s41598-022-26467-6Vancouver
Wichmann RM, Fernandes FT, Chiavegatto Filho ADP. Improving the performance of machine learning algorithms for health outcomes predictions in multicentric cohorts [Internet]. Scientific Reports. 2023 ;13 art. 1022 [8].[citado 2024 set. 06 ] Available from: https://doi.org/10.1038/s41598-022-26467-6