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Automatic Documentation and Mathematical Linguistics

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01-12-2022 | INTELLIGENT SYSTEMS

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

Author: E. A. Efimova

Published in: Automatic Documentation and Mathematical Linguistics | Issue 6/2022

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Abstract

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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The survey was developed and data collected by N.V. Komendat (Russian State University for the Humanities).

The images were constructed using the Wolfram Cloud (https://www.wolframcloud.com)

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Title: Analysis of Results of JSM Reasoning Applied to Covid-19 Testees’ Data
Author: E. A. Efimova
Publication date: 01-12-2022
Publisher: Pleiades Publishing
Published in: Automatic Documentation and Mathematical Linguistics / Issue 6/2022
Print ISSN: 0005-1055
Electronic ISSN: 1934-8371
DOI: https://doi.org/10.3103/S0005105522060024

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

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