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

A. V. Bykov; A. A. Burmaka; S. N. Korenevskaya; D. S. Rodionov

doi:10.1007/s10527-018-9828-6

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

Authors: Bykov A.V.¹, Burmaka A.A.², Korenevskaya S.N.², Rodionov D.S.²
Affiliations:
1. Kursk Regional Clinical Hospital
2. Southwest State University
Issue: Vol 52, No 4 (2018)
Pages: 271-274
Section: Article
URL: https://journals.rcsi.science/0006-3398/article/view/235725
DOI: https://doi.org/10.1007/s10527-018-9828-6
ID: 235725

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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.