Medical Fuzzy-Expert System for Assessment of the Degree of Anatomical Lesion of Coronary Arteries

Waldemar Wójcik, Iryna Mezhiievska, Sergii V. Pavlov, Tomasz Lewandowski, Oleh V. Vlasenko, Valentyn Maslovskyi, Oleksandr Volosovych, Iryna Kobylianska, Olha Moskovchuk, Vasyl Ovcharuk and Anna Lewandowska ()
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Waldemar Wójcik: Faculty of Electrical Engineering and Computer Science, Lublin University of Technology, Nadbystrzycka 38d, 20-618 Lublin, Poland
Iryna Mezhiievska: Department of Internal Medicine No. 3, National Pirogov Memorial Medical University, Pirogov Str. 56, 21018 Vinnytsya, Ukraine
Sergii V. Pavlov: Laboratory of Biomedical Optics, Faculty for Infocommunications, Radioelectronics and Nanosystems, Vinnytsia National Technical University, Khmelnytske Shose 95, 21021 Vinnytsia, Ukraine
Tomasz Lewandowski: Institute of Technical Engineering, State School of Technology and Economics in Jaroslaw, 37-500 Jaroslaw, Poland
Oleh V. Vlasenko: Laboratory of Experimental Neurophysiology, National Pirogov Memorial Medical University, 21018 Vinnytsia, Ukraine
Valentyn Maslovskyi: Department of Internal Medicine No. 3, National Pirogov Memorial Medical University, Pirogov Str. 56, 21018 Vinnytsya, Ukraine
Oleksandr Volosovych: Department of Biomedical Engineering and Optic-Electronic Systems, Vinnytsia National Technical University, Khmelnytske Shose 95, 21021 Vinnytsia, Ukraine
Iryna Kobylianska: Department of Life Safety and Safety Pedagogy, Vinnytsia National Technical University, Khmelnytske Shose 95, 21021 Vinnytsia, Ukraine
Olha Moskovchuk: Department of Pedagogy, Vinnytsia Mykhailo Kotsiubynskyi State Pedagogical University, Ostrozhsky Str. 32, 21000 Vinnytsia, Ukraine
Vasyl Ovcharuk: Department of Physical Education, Vinnytsia National Technical University, Khmelnytske Shose 95, 21021 Vinnytsia, Ukraine
Anna Lewandowska: Institute of Healthcare, State University of Technology and Economics in Jaroslaw, Czarniecki Street 16, 37-500 Jaroslaw, Poland

IJERPH, 2023, vol. 20, issue 2, 1-18

Abstract: Background: Today, cardiovascular diseases cause 47% of all deaths among the European population, which is 4 million cases every year. In Ukraine, CAD accounts for 65% of the mortality rate from circulatory system diseases of the able-bodied population and is the main cause of disability. The aim of this study is to develop a medical expert system based on fuzzy sets for assessing the degree of coronary artery lesions in patients with coronary artery disease. Methods: The method of using fuzzy sets for the implementation of an information expert system for solving the problems of medical diagnostics, in particular, when assessing the degree of anatomical lesion of the coronary arteries in patients with various forms of coronary artery disease, has been developed. Results: The paper analyses the main areas of application of mathematical methods in medical diagnostics, and formulates the principles of diagnostics, based on fuzzy logic. The developed models and algorithms of medical diagnostics are based on the ideas and principles of artificial intelligence and knowledge engineering, the theory of experiment planning, the theory of fuzzy sets and linguistic variables. The expert system is tested on real data. Through research and comparison of the results of experts and the created medical expert system, the reliability of supporting the correct decision making of the medical expert system based on fuzzy sets for assessing the degree of anatomical lesion of the coronary arteries in patients with various forms of coronary artery disease with the assessment of experts was 95%, which shows the high efficiency of decision making. Conclusions: The practical value of the work lies in the possibility of using the automated expert system for the solution of the problems of medical diagnosis based on fuzzy logic for assessing the degree of anatomical lesion of the coronary arteries in patients with various forms of coronary artery disease. The proposed concept must be further validated for inter-rater consistency and reliability. Thus, it is promising to create expert medical systems based on fuzzy sets for assessing the degree of disease pathology.

Keywords: medical expert systems; fuzzy logic; coronary artery disease; coronary arteries; problems of cardiology; cardiovascular diseases; myocardial infarction; patient safety (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2023
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