Exploring Feasibility of Multivariate Deep Learning Models in Predicting COVID-19 Epidemic

Background: Mathematical models are powerful tools to study COVID-19. However, one fundamental challenge in current modeling approaches is the lack of accurate and comprehensive data. Complex epidemiological systems such as COVID-19 are especially challenging to the commonly used mechanistic model w...

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Detalles Bibliográficos
Autores principales: Chen, Shi, Paul, Rajib, Janies, Daniel, Murphy, Keith, Feng, Tinghao, Thill, Jean-Claude
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Public Health
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8287417/
https://www.ncbi.nlm.nih.gov/pubmed/34291025
http://dx.doi.org/10.3389/fpubh.2021.661615

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8287417/
https://www.ncbi.nlm.nih.gov/pubmed/34291025
http://dx.doi.org/10.3389/fpubh.2021.661615

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