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

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 mathe...

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Bibliographic Details
Published in:Biomedical engineering 2018-11, Vol.52 (4), p.271-274
Main Authors: Bykov, A. V., Burmaka, A. A., Korenevskaya, S. N., Rodionov, D. S.
Format: Article
Language:English
Subjects:
Algorithms
Biomaterials
Biomedical engineering
Biomedical Engineering and Bioengineering
Decision support systems
Disease prevention
Engineering
Fuzzy systems
Heart
Hemodynamics
Ischemia
Knowledge base
Knowledge bases (artificial intelligence)
Lesions
Mathematical analysis
Mathematical models
Quality of life
Schedules
Surgery
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Summary: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.
ISSN:0006-3398
1573-8256
DOI:10.1007/s10527-018-9828-6