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...

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Detalles Bibliográficos
Autores principales: Thaljaoui, Adel, Khediri, Salim El, Benmohamed, Emna, Alabdulatif, Abdulatif, Alourani, Abdullah
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Original Article
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

Internet

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

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