Forecasting COVID-19 spreading through an ensemble of classical and machine learning models: Spain’s case study

In this work the applicability of an ensemble of population and machine learning models to predict the evolution of the COVID-19 pandemic in Spain is evaluated, relying solely on public datasets. Firstly, using only incidence data, we trained machine learning models and adjusted classical ODE-based...

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Detalles Bibliográficos
Autores principales: Heredia Cacha, Ignacio, Sáinz-Pardo Díaz, Judith, Castrillo, María, López García, Álvaro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10127188/
https://www.ncbi.nlm.nih.gov/pubmed/37185927
http://dx.doi.org/10.1038/s41598-023-33795-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10127188/
https://www.ncbi.nlm.nih.gov/pubmed/37185927
http://dx.doi.org/10.1038/s41598-023-33795-8

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