A Machine Learning-Aided Global Diagnostic and Comparative Tool to Assess Effect of Quarantine Control in COVID-19 Spread

We have developed a globally applicable diagnostic COVID-19 model by augmenting the classical SIR epidemiological model with a neural network module. Our model does not rely upon previous epidemics like SARS/MERS and all parameters are optimized via machine learning algorithms used on publicly avail...

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Detalles Bibliográficos
Autores principales: Dandekar, Raj, Rackauckas, Chris, Barbastathis, George
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7671652/
https://www.ncbi.nlm.nih.gov/pubmed/33225319
http://dx.doi.org/10.1016/j.patter.2020.100145

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7671652/
https://www.ncbi.nlm.nih.gov/pubmed/33225319
http://dx.doi.org/10.1016/j.patter.2020.100145

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