Determination of risk groups for the COVID-19 underlying deseases

DOI10.1007/S10559-021-00347-9zbMath1470.92228OpenAlexW3145479176MaRDI QIDQ2044003

A. A. Vagis, Ivan V. Sergienko, Anatol M. Gupal

Publication date: 4 August 2021

Published in: Cybernetics and Systems Analysis (Search for Journal in Brave)

Full work available at URL: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8012156

zbMATH Keywords

Bayesian recognition procedureDNA sequencingpoint mutations

Mathematics Subject Classification ID

Protein sequences, DNA sequences (92D20) Pathology, pathophysiology (92C32)

Related Items (1)

Intelligent decision-support system for epidemiological diagnostics. II: Information technologies development

Cites Work

• Using compositions of Markov models to determine functional gene fragments
• Complexity of classification problems
• Bayesian procedures of hematologic disease recognition
• Efficiency of Bayesian classification procedure
• Analysis of neurosurgical pathologies using Bayesian recognition procedures for indicators of surface plasmon resonance in the aggregation of blood cells
• Noise immunity of genetic codes to point mutations

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