An incremental learning approach to prediction models of SEIRD variables in the context of the COVID-19 pandemic

Several works have proposed predictive models of the SEIRD (Susceptible, Exposed, Infected, Recovered, and Dead) variables to characterize the pandemic of COVID-19. One of the challenges of these models is to be able to follow the dynamics of the disease to make more precise predictions. In this pap...

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Detalles Bibliográficos
Autores principales: Camargo, E., Aguilar, J., Quintero, Y., Rivas, F., Ardila, D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9035346/
https://www.ncbi.nlm.nih.gov/pubmed/35499039
http://dx.doi.org/10.1007/s12553-022-00668-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9035346/
https://www.ncbi.nlm.nih.gov/pubmed/35499039
http://dx.doi.org/10.1007/s12553-022-00668-5

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