Susceptible-Infected-Removed Mathematical Model under Deep Learning in Hospital Infection Control of Novel Coronavirus Pneumonia

OBJECTIVE: This research aimed to explore the application of a mathematical model based on deep learning in hospital infection control of novel coronavirus (COVID-19) pneumonia. METHODS: First, the epidemic data of Beijing, China, were utilized to make a definite susceptible-infected-removed (SIR) m...

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Detalles Bibliográficos
Autores principales: Liu, Ting, Bai, Yanling, Du, Mingmei, Gao, Yueming, Liu, Yunxi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8566049/
https://www.ncbi.nlm.nih.gov/pubmed/34745489
http://dx.doi.org/10.1155/2021/1535046

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8566049/
https://www.ncbi.nlm.nih.gov/pubmed/34745489
http://dx.doi.org/10.1155/2021/1535046

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