Unsupervised analysis of COVID-19 pandemic evolution in brazilian states (2022)
Source: Procedia Computer Science. Conference titles: International Conference on ENTERprise Information Systems - CENTERIS. Unidades: FMRP, BIOENGENHARIA
Subjects: COVID-19, ALGORITMOS, ANÁLISE DE SÉRIES TEMPORAIS, PANDEMIAS
ABNT
CASSÃO, Victor et al. Unsupervised analysis of COVID-19 pandemic evolution in brazilian states. Procedia Computer Science. Amsterdam: Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo. Disponível em: https://doi.org/10.1016/j.procs.2021.12.061. Acesso em: 04 ago. 2024. , 2022APA
Cassão, V., Alves, D., Mioto, A. C. de A., Bernardi, F. A., & Miyoshi, N. S. B. (2022). Unsupervised analysis of COVID-19 pandemic evolution in brazilian states. Procedia Computer Science. Amsterdam: Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo. doi:10.1016/j.procs.2021.12.061NLM
Cassão V, Alves D, Mioto AC de A, Bernardi FA, Miyoshi NSB. Unsupervised analysis of COVID-19 pandemic evolution in brazilian states [Internet]. Procedia Computer Science. 2022 ; 196 655-662.[citado 2024 ago. 04 ] Available from: https://doi.org/10.1016/j.procs.2021.12.061Vancouver
Cassão V, Alves D, Mioto AC de A, Bernardi FA, Miyoshi NSB. Unsupervised analysis of COVID-19 pandemic evolution in brazilian states [Internet]. Procedia Computer Science. 2022 ; 196 655-662.[citado 2024 ago. 04 ] Available from: https://doi.org/10.1016/j.procs.2021.12.061