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

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 Vol. 52; no. 4; pp. 271 - 274
Main Authors: Bykov, A. V., Burmaka, A. A., Korenevskaya, S. N., Rodionov, D. S.
Format: Journal Article
Language:English
Published: New York Springer US 01-11-2018
Springer Nature B.V
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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Description
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