Epi-DNNs: Epidemiological priors informed deep neural networks for modeling COVID-19 dynamics

Differential equations-based epidemic compartmental models and deep neural networks-based artificial intelligence (AI) models are powerful tools for analyzing and fighting the transmission of COVID-19. However, the capability of compartmental models is limited by the challenges of parameter estimati...

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Detalles Bibliográficos
Autores principales: Ning, Xiao, Jia, Linlin, Wei, Yongyue, Li, Xi-An, Chen, Feng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9970927/
https://www.ncbi.nlm.nih.gov/pubmed/36996662
http://dx.doi.org/10.1016/j.compbiomed.2023.106693

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9970927/
https://www.ncbi.nlm.nih.gov/pubmed/36996662
http://dx.doi.org/10.1016/j.compbiomed.2023.106693

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