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
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Affiliations:
- Kursk Regional Clinical Hospital
- 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
Cite item
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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