Developing hybrid fuzzy model for predicting severity of end organ damage of the anatomical zones of the lower extremities

Korenevskiy N.A. Bykov A.V. Al-Kasasbeh R.T. Aikeyeva A.A. Rodionova S.N. Maksim I. Shaqadan A.A.
2022 Inderscience Publishers

International Journal of Medical Engineering and Informatics
2022 #14 Issue 4 323 - 335 pp.

Treatment of ischemic disease of the lower extremities is challenged by uncertainty and complex correlations among factors. Also, early detection and treatment have a valuable effect on saving patients extremities from amputations caused by chronic obliterating diseases of the arteries of the lower extremities. We develop a hybrid fuzzy logic rules model to classify severity of ischemic lesions of the lower extremities so physicians can choose the prevention and treatment course. We use health indicators including rheological indicators, volumetric blood flow velocity, along anatomical zones of the lower extremities and regional systolic blood pressure. The model gives the following classes: mild, moderate, severe and critical severity of ischemic damage. Fuzzy rules to differentiate severity levels are set by medical experts. The proposed decision rule classification model exceeds 0.95. This model shows increasing necrobiotic changes in the ischemic extremities which helps preserve organs from amputation.

critical ischemia , fuzzy model , hemostasis , ischemic injury , lower extremities , vascular blood filling

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South-West State University, Kursk, Russian Federation
Kursk Regional Clinical Hospital, Sumskaya St., 45a, Kursk, 305007, Russian Federation
Faculty of Engineering Technology, Al-Balqa Applied University, Amman, Jordan
Karaganda State Industrial University, Respubliki Ave., 30, Temirtau, 101400, Kazakhstan
ITMO University, University of Information Technologies, Mechanics and Optics, Saint Petersburg, Russian Federation
Zarqa University, Zarqa, Jordan

South-West State University
Kursk Regional Clinical Hospital
Faculty of Engineering Technology
Karaganda State Industrial University
ITMO University
Zarqa University

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