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Vagis AA, Gupal AM, Sergienko IV. Determination of Risk Groups for the Covid-19 Underlying Deseases. Cybern Syst Anal. 2021;1-5doi: 10.1007/s10559-021-00347-9.
Vagis, A. A., Gupal, A. M., & Sergienko, I. V. (2021). Determination of Risk Groups for the Covid-19 Underlying Deseases. Cybernetics and systems analysis, 1-5. https://doi.org/10.1007/s10559-021-00347-9
Vagis, A A, et al. "Determination of Risk Groups for the Covid-19 Underlying Deseases." Cybernetics and systems analysis vol. (2021): 1-5. doi: https://doi.org/10.1007/s10559-021-00347-9
Vagis AA, Gupal AM, Sergienko IV. Determination of Risk Groups for the Covid-19 Underlying Deseases. Cybern Syst Anal. 2021 Apr 01;1-5. doi: 10.1007/s10559-021-00347-9. Epub 2021 Apr 01. PMID: 33821122; PMCID: PMC8012156.
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Cybern Syst Anal. 2021 Apr 01;1-5. doi: 10.1007/s10559-021-00347-9. Epub 2021 Apr 01.

Determination of Risk Groups for the Covid-19 Underlying Deseases.

Cybernetics and systems analysis

A A Vagis, A M Gupal, I V Sergienko

Affiliations

  1. V. M. Glushkov Institute of Cybernetics, National Academy of Sciences of Ukraine, Kyiv, Ukraine.

PMID: 33821122 PMCID: PMC8012156 DOI: 10.1007/s10559-021-00347-9

Abstract

For every disease, there is a certain set of genes whose mutations increase the risk of illness development. DNA sequencing of sick and healthy individuals results in the determination of genes related to certain diseases. Efficient procedures are described in order to determine point mutations in gene sequences of the examined patients. The optimal Bayesian procedure is used to determine risk groups for certain diseases, including the ones that underlie COVID-19.

© Springer Science+Business Media, LLC, part of Springer Nature 2021.

Keywords: Bayesian recognition procedure; DNA sequencing; point mutations

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