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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...
Autores principales: | Liu, Ting, Bai, Yanling, Du, Mingmei, Gao, Yueming, Liu, Yunxi |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2021
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Materias: | |
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 |
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