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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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
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author Efimova, E. A.
author_facet Efimova, E. A.
author_sort Efimova, E. A.
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description 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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spelling pubmed-99841272023-03-03 Analysis of Results of JSM Reasoning Applied to Covid-19 Testees’ Data Efimova, E. A. Autom. Doc. Math. Linguist. Intelligent Systems 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. Pleiades Publishing 2023-03-03 2022 /pmc/articles/PMC9984127/ http://dx.doi.org/10.3103/S0005105522060024 Text en © Allerton Press, Inc. 2022, ISSN 0005-1055, Automatic Documentation and Mathematical Linguistics, 2022, Vol. 56, No. 6, pp. 285–294. © Allerton Press, Inc., 2022.Russian Text © The Author(s), 2022, published in Nauchno-Tekhnicheskaya Informatsiya, Seriya 2: Informatsionnye Protsessy i Sistemy, 2022, No. 11, pp. 11–19. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Intelligent Systems
Efimova, E. A.
Analysis of Results of JSM Reasoning Applied to Covid-19 Testees’ Data
title Analysis of Results of JSM Reasoning Applied to Covid-19 Testees’ Data
title_full Analysis of Results of JSM Reasoning Applied to Covid-19 Testees’ Data
title_fullStr Analysis of Results of JSM Reasoning Applied to Covid-19 Testees’ Data
title_full_unstemmed Analysis of Results of JSM Reasoning Applied to Covid-19 Testees’ Data
title_short Analysis of Results of JSM Reasoning Applied to Covid-19 Testees’ Data
title_sort analysis of results of jsm reasoning applied to covid-19 testees’ data
topic Intelligent Systems
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9984127/
http://dx.doi.org/10.3103/S0005105522060024
work_keys_str_mv AT efimovaea analysisofresultsofjsmreasoningappliedtocovid19testeesdata

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