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Mathematical models and deep learning for predicting the number of individuals reported to be infected with SARS-CoV-2
We introduce a novel methodology for predicting the time evolution of the number of individuals in a given country reported to be infected with SARS-CoV-2. This methodology, which is based on the synergy of explicit mathematical formulae and deep learning networks, yields algorithms whose input is o...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
The Royal Society
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7482569/ https://www.ncbi.nlm.nih.gov/pubmed/32752997 http://dx.doi.org/10.1098/rsif.2020.0494 |