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

Authors: Nikolay Alexeyevich Korenevskiy; Alexander Vladimirovich Bykov; Riad Taha Al-Kasasbeh; Altyn Amanzholovna Aikeyeva; Sofia Nikolaevna Rodionova; Ilyash Maksim; Ashraf Adel Shaqadan

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

Abstract: 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.

Keywords: critical ischemia; lower extremities; vascular blood filling; hemostasis; ischemic injury; fuzzy model.

DOI: 10.1504/IJMEI.2022.123925

International Journal of Medical Engineering and Informatics, 2022 Vol.14 No.4, pp.323 - 335

Received: 18 Apr 2020
Accepted: 23 Aug 2020
Published online: 05 Jul 2022 *

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