An Intelligent Decision Support System for Managing Patients with Lower Limb Ischemia Based on Hybrid Fuzzy Models


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Abstract

The article discusses a mathematical model for predicting the occurrence and the course of development of ischemic lesions of the lower extremities, diagnosing the disease stages, and choosing rational prevention and treatment schedules based on the use of hybrid fuzzy mathematical models. The mathematical models suggested for this purpose use knowledge bases of intellectual systems for decision support in vascular surgery and angiology.

About the authors

A. V. Bykov

Kursk Regional Clinical Hospital

Email: knsofia@mail.ru
Russian Federation, Kursk

A. A. Burmaka

Southwest State University

Email: knsofia@mail.ru
Russian Federation, Kursk

S. N. Korenevskaya

Southwest State University

Author for correspondence.
Email: knsofia@mail.ru
Russian Federation, Kursk

D. S. Rodionov

Southwest State University

Email: knsofia@mail.ru
Russian Federation, Kursk

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