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...

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Detalles Bibliográficos
Autores principales: Fokas, A. S., Dikaios, N., Kastis, G. A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2020
Materias:
Life Sciences–Mathematics interface
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

Internet

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

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