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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...
Autores principales: | Heredia Cacha, Ignacio, Sáinz-Pardo Díaz, Judith, Castrillo, María, López García, Álvaro |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
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 |
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