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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer Berlin Heidelberg
2022
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| Materias: | |
| 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 |