Analysis and modeling of the probability of developing cardiovascular diseases in humans to identify a risk group

A. L. Tkachenko; A. V. Mazin; M. M. Tyurina

doi:10.1117/12.2669109

5 January 2023 Analysis and modeling of the probability of developing cardiovascular diseases in humans to identify a risk group

A. L. Tkachenko, A. V. Mazin, M. M. Tyurina

Author Affiliations +

Proceedings Volume 12564, 2nd International Conference on Computer Applications for Management and Sustainable Development of Production and Industry (CMSD-II-2022); 125640R (2023) https://doi.org/10.1117/12.2669109
Event: Computer Applications for Management and Sustainable Development of Production and Industry (CMSD2022), 2022, Dushanbe, Tajikistan

Abstract

In this article, simulation modeling was carried out in the AnyLogic system. A simulation model was created that simulates cardiovascular diseases in people depending on age. This model can be used for statistical diagnostics and identification of risk groups for diseases of the cardiovascular system and in the future will allow taking the necessary measures to prevent and reduce the likelihood of these diseases in people at risk.

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A. L. Tkachenko, A. V. Mazin, and M. M. Tyurina "Analysis and modeling of the probability of developing cardiovascular diseases in humans to identify a risk group", Proc. SPIE 12564, 2nd International Conference on Computer Applications for Management and Sustainable Development of Production and Industry (CMSD-II-2022), 125640R (5 January 2023); https://doi.org/10.1117/12.2669109

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