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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...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier Ltd.
2022
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| Materias: | |
| 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 |