Fuzzy Models of Choice of Prevention Schemes for the Occurrence and Development of Gangrene of the Lower Extremities
Korenevskiy N.A. Bykov A.V. Al-Kasasbeh R.T. Aikeyeva A.A. Alshamasin M.S. Rodionova S.N. Maksim I. Parkhomenko S.A. Al-Smadi M.M. Al-Jundi M.
2021Begell House Inc.
Critical Reviews in Biomedical Engineering
2021#49Issue 51 - 12 pp.
The study focuses on the choice of prevention schemes of the appearance and recurrence of gangrene of the lower extremities, depending on any of the degrees of confidence that the patient will have gangrene or will experience its relapse. The degree of confidence is determined using the fuzzy logic of decision making on the relevant membership functions. For each of the selected classes, an appropriate prevention scheme has been developed, the effectiveness of which was tested using the theory of measuring latent variables and the synthesis of mathematical models of their choice depending on the degree of risk of the occurrence and recurrence of lower extremities gangrene. Model statistical tests showed that compared with traditional prevention schemes the use of the proposed models can increase the rate of positive results in the absence of lower extremities gangrene and reduce the possibility of relapse (recurrent changes by 42%, risk of amputation by 35%).
Confidence in the classification , Gangrene of the lower extremities , Membership functions , Prevention , Relapse , Risk of occurrence
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South-West State University, Kursk, Russian Federation
Kursk Regional Clinical Hospital, Kursk, Russian Federation
Department of Electrical Engineering, Faculty of Engineering Technology, Al-Balqa Applied University, Jordan
Karaganda State Industrial University, Temirtau, Kazakhstan
ITMO University St. Petersburg, 197101, Russian Federation
Clinic - Military Hospital No. 3, Krasnogorsk, Russian Federation
Jordan University Hospital, Jordan Moaath Musa Al-Smadi, Amman, Jordan
Department of Endocrinology, Eunice Kennedy Shriver National Institute of Child and Human Development, National Institutes of Health, Bethesda, MD, United States
South-West State University
Kursk Regional Clinical Hospital
Department of Electrical Engineering
Karaganda State Industrial University
ITMO University St. Petersburg
Clinic - Military Hospital No. 3
Jordan University Hospital
Department of Endocrinology
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