Prediction of ischemic heart disease based on hybrid fuzzy decision rules

The purpose of the research is to improve the quality of predicting coronary heart disease by using decision-making models together with a set of generally accepted risk factors that characterize the functioning of the protective mechanisms of the cardiovascular system.

Methods. At the preliminary stage of the study, an exploratory analysis revealed that the "high risk" class of coronary heart disease has significantly overlapping boundaries in relation to alternative classes. In these conditions, specialists focused on solving poorly formalized problems recommend using the theory of fuzzy decision-making logic, and in particular, the methodology for synthesizing hybrid vague decision rules developed at Southwestern State University. At the same stage of the research, the composition of informative signs was determined, which included signs traditionally used in medical practice, indicators of the degree of ischemic damage to the brain and heart, indicators characterizing the functioning of the antioxidant system, the energy imbalance of the "cardiac" acupuncture points and characteristics of the level of protection of the cardiovascular system.

Results. The paper provides a mathematical model for predicting coronary artery disease using a system of traditional predictors for medical practice in combination with blocks of signs describing the degree of ischemic damage to the heart and brain, the functioning of the antioxidant defense system, the energy imbalance of BAT "associated" with heart disease, and the characteristics of the level of protection of the cardiovascular system.vascular system.

Conclusion. The conducted studies have shown that in order to improve the quality of forecasting, it is advisable to combine the following in appropriate decisive rules: predictors of traditional medicine; indicators characterizing the degree of ischemic damage to the brain and heart; indicators characterizing the functioning of the antioxidant system; energy imbalance of "cardiac" acupuncture points; characteristics of the level of cardiovascular protection. It was shown that the quality of forecasting using the models obtained in the work increases by 10–15% compared with models that do not use indicators of the body's level of protection.

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