Roster, Kirstin 
; Connaughton, Colm ; Rodrigues, Francisco Aparecido
Source: American Journal of Epidemiology. Unidade: ICMC
Subjects: DENGUE, SAÚDE PÚBLICA, APRENDIZADO COMPUTACIONAL, PREDIÇÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ROSTER, Kirstin e CONNAUGHTON, Colm e RODRIGUES, Francisco Aparecido. Machine-learning-based forecasting of dengue fever in Brazilian cities using epidemiologic and meteorological variables. American Journal of Epidemiology, v. 191, n. 10, p. 1803–1812, 2022Tradução . . Disponível em: https://doi.org/10.1093/aje/kwac090. Acesso em: 08 jun. 2024.APA
Roster, K., Connaughton, C., & Rodrigues, F. A. (2022). Machine-learning-based forecasting of dengue fever in Brazilian cities using epidemiologic and meteorological variables. American Journal of Epidemiology, 191( 10), 1803–1812. doi:10.1093/aje/kwac090NLM
Roster K, Connaughton C, Rodrigues FA. Machine-learning-based forecasting of dengue fever in Brazilian cities using epidemiologic and meteorological variables [Internet]. American Journal of Epidemiology. 2022 ; 191( 10): 1803–1812.[citado 2024 jun. 08 ] Available from: https://doi.org/10.1093/aje/kwac090Vancouver
Roster K, Connaughton C, Rodrigues FA. Machine-learning-based forecasting of dengue fever in Brazilian cities using epidemiologic and meteorological variables [Internet]. American Journal of Epidemiology. 2022 ; 191( 10): 1803–1812.[citado 2024 jun. 08 ] Available from: https://doi.org/10.1093/aje/kwac090
