S.N. Rodionova1

1 SouthWest State University (Kursk, Russia)
1 knsofia@mail.ru

According to the World Health Organization, heart and vascular diseases are the most common cause of death in the world, with the largest share of deaths among this class of diseases occurring due to ischemic heart disease. Despite the successes of modern medical science, the problem of predicting and early diagnostics of such a common and dangerous disease as ischemic heart disease remains far from being solved.

Based on this, the aim of the work is to improve the quality of ischemic heart disease prediction by using, along with traditional medical signs, indicators characterizing the functioning of the protective mechanisms of the cardiovascular system. Considering that in modern medical science there is no clear formal description between health and disease, including diseases of the cardiovascular system, the methodology of synthesizing hybrid fuzzy decision rules focused on poorly formalized data structures was chosen as a mathematical apparatus for synthesizing prognostic decision rules.

Using the chosen methodology, a model for predicting the occurrence and development of ischemic heart disease was obtained in the work, in which, along with the signs traditionally used in medical practice, indicators characterizing the work of the protective mechanisms of the cardiovascular system are used together with indicators determining the degree of ischemic damage to other human organs and systems systemically associated with the activity of the heart. This approach allows to increase the quality of prediction of the pathology under study by more than 10% compared to the research methods used in practical medicine.

The work was carried out within the framework of the implementation of the development program of the Federal State Budgetary Educational Institution of Higher Education "Southwestern State University" of the "Priority 2030" project.

Rodionova S.N. Mathematical model for predicting ischemic heart disease taking into account the protective mechanisms of the cardiovascular system. Biomedicine Radioengineering. 2025. V. 28. № 5. P. 27–30. DOI: https:// doi.org/10.18127/j15604136-202505-06 (In Russian)

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