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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Autores principales: | Ting Liu, Yanling Bai, Mingmei Du, Yueming Gao, Yunxi Liu |
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Formato: | article |
Lenguaje: | EN |
Publicado: |
Hindawi Limited
2021
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Materias: | |
Acceso en línea: | https://doaj.org/article/da9e74e26b77452297bc13226ec95430 |
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