Decision support analysis for risk identification and control of patients affected by COVID-19 based on Bayesian Networks

In the context of the outbreak of coronavirus disease (COVID-19), this paper proposes an innovative and systematic decision support model based on Bayesian networks (BNs) to identify and control the risk of COVID-19 patients spreading the virus, which requires the following three steps. First, by co...

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Detalles Bibliográficos
Autores principales: Shen, Jiang, Liu, Fusheng, Xu, Man, Fu, Lipeng, Dong, Zhenhe, Wu, Jiachao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8761025/
https://www.ncbi.nlm.nih.gov/pubmed/35068709
http://dx.doi.org/10.1016/j.eswa.2022.116547

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8761025/
https://www.ncbi.nlm.nih.gov/pubmed/35068709
http://dx.doi.org/10.1016/j.eswa.2022.116547

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