Analysis of Results of JSM Reasoning Applied to Covid-19 Testees’ Data

The paper describes the results of JSM reasoning applied to COVID-19 testees’ data formed from their symptoms. We construct graphs of objects and hypotheses and consider stable sets of vertices. We also find all minimal subsets of those testees who have recovered from COVID-19 and collectively have...

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Detalles Bibliográficos
Autor principal: Efimova, E. A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Pleiades Publishing 2023
Materias:
Intelligent Systems
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9984127/
http://dx.doi.org/10.3103/S0005105522060024
Descripción
Sumario:The paper describes the results of JSM reasoning applied to COVID-19 testees’ data formed from their symptoms. We construct graphs of objects and hypotheses and consider stable sets of vertices. We also find all minimal subsets of those testees who have recovered from COVID-19 and collectively have all groups of symptoms that are possible signs of the disease, as well as all minimal sets of subgroups of symptoms such that all recovered testees collectively have.

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