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Integrated Bayesian and association-rules methods for autonomously orienting COVID-19 patients
The coronavirus infection continues to spread rapidly worldwide, having a devastating impact on the health of the global population. To fight against COVID-19, we propose a novel autonomous decision-making process which combines two modules in order to support the decision-maker: (1) Bayesian Networ...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer Berlin Heidelberg
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9540074/ https://www.ncbi.nlm.nih.gov/pubmed/36205834 http://dx.doi.org/10.1007/s11517-022-02677-y |