Machine learning models for the prediction of the SEIRD variables for the COVID-19 pandemic based on a deep dependence analysis of variables

The SEIRD (Susceptible, Exposed, Infected, Recovered, and Dead) model is a mathematical model based on dynamic equations; widely used for characterization of the COVID-19 pandemic. In this paper, a different approach has been discussed, which is the development of predictive models for the SEIRD var...

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Detalles Bibliográficos
Autores principales: Quintero, Yullis, Ardila, Douglas, Camargo, Edgar, Rivas, Francklin, Aguilar, Jose
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8142792/
https://www.ncbi.nlm.nih.gov/pubmed/34052570
http://dx.doi.org/10.1016/j.compbiomed.2021.104500

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8142792/
https://www.ncbi.nlm.nih.gov/pubmed/34052570
http://dx.doi.org/10.1016/j.compbiomed.2021.104500

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