Deep learning framework for epidemiological forecasting: A study on COVID-19 cases and deaths in the Amazon state of Pará, Brazil

Modeling time series has been a particularly challenging aspect due to the need for constant adjustments in a rapidly changing environment, data uncertainty, dependencies between variables, volatile fluctuations, and the need to identify ideal hyperparameters. The present study presents a Framework...

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Detalles Bibliográficos
Autores principales: de Souza, Gilberto Nerino, Mendes, Alícia Graziella Balbino, Costa, Joaquim dos Santos, Oliveira, Mikeias dos Santos, Lima, Paulo Victor Cunha, de Moraes, Vitor Nunes, Silva, David Costa Correia, da Rocha, Jonas Elias Castro, Botelho, Marcel do Nascimento, Araujo, Fabricio Almeida, Fernandes, Rafael da Silva, Souza, Daniel Leal, Braga, Marcus de Barros
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10656034/
https://www.ncbi.nlm.nih.gov/pubmed/37976312
http://dx.doi.org/10.1371/journal.pone.0291138

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10656034/
https://www.ncbi.nlm.nih.gov/pubmed/37976312
http://dx.doi.org/10.1371/journal.pone.0291138

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