Spatial Clusters of Cancer Mortality in Brazil: A Machine Learning Modeling Approach (2023)
Fonte: International Journal of Public Health (online). Unidade: FSP
Assuntos: NEOPLASIAS, MORTALIDADE, APRENDIZADO COMPUTACIONAL, CLUSTERS, FATORES SOCIOECONÔMICOS, BRASIL
ABNT
TEIXEIRA, Bruno Casaes et al. Spatial Clusters of Cancer Mortality in Brazil: A Machine Learning Modeling Approach. International Journal of Public Health (online), v. 68, p. art. 1604789 [10], 2023Tradução . . Disponível em: https://doi.org/10.3389/ijph.2023.1604789. Acesso em: 14 nov. 2024.APA
Teixeira, B. C., Toporcov, T. N., Chiaravalloti-Neto, F., & Chiavegatto Filho, A. D. P. (2023). Spatial Clusters of Cancer Mortality in Brazil: A Machine Learning Modeling Approach. International Journal of Public Health (online), 68, art. 1604789 [10]. doi:10.3389/ijph.2023.1604789NLM
Teixeira BC, Toporcov TN, Chiaravalloti-Neto F, Chiavegatto Filho ADP. Spatial Clusters of Cancer Mortality in Brazil: A Machine Learning Modeling Approach [Internet]. International Journal of Public Health (online). 2023 ;68 art. 1604789 [10].[citado 2024 nov. 14 ] Available from: https://doi.org/10.3389/ijph.2023.1604789Vancouver
Teixeira BC, Toporcov TN, Chiaravalloti-Neto F, Chiavegatto Filho ADP. Spatial Clusters of Cancer Mortality in Brazil: A Machine Learning Modeling Approach [Internet]. International Journal of Public Health (online). 2023 ;68 art. 1604789 [10].[citado 2024 nov. 14 ] Available from: https://doi.org/10.3389/ijph.2023.1604789