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Journal of Medical Systems
Published in: Journal of Medical Systems 5/2012

01-10-2012 | ORIGINAL PAPER

Fuzzy Rule-Based Expert System for Evaluating Level of Asthma Control

Authors: Maryam Zolnoori, Mohammad Hosain Fazel Zarandi, Mostafa Moin, Mehran Taherian

Published in: Journal of Medical Systems | Issue 5/2012

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Abstract

Asthma control is a final goal of asthma therapy process. Despite outstanding progress in discovering various variables affecting asthma control levels, disregarding some of them by physicians and variables’ inherent uncertainty are the major causes of underestimating of asthma control levels and as a result asthma morbidity and mortality. In this paper, we provide an intelligent fuzzy system as a solution for this problem. Inputs of this system are composed of 14 variables organized in five modules of respiratory symptoms severity, bronchial obstruction, asthma instability, current treatment, and quality of life. Output of this system is degree of asthma control defined in the score (0–10). Evaluation of performance of this system by 42 asthmatic patients at asthma, allergy, immunology research center of Emam Khomeini hospital, Tehran, Iran reinforces that the system’s results not only correspond with the evaluations of experienced asthma physicians, but represents slight differences in the levels of asthma control between asthmatic patients.
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Metadata
Title
Fuzzy Rule-Based Expert System for Evaluating Level of Asthma Control
Authors
Maryam Zolnoori
Mohammad Hosain Fazel Zarandi
Mostafa Moin
Mehran Taherian
Publication date
01-10-2012
Publisher
Springer US
Published in
Journal of Medical Systems / Issue 5/2012
Print ISSN: 0148-5598
Electronic ISSN: 1573-689X
DOI
https://doi.org/10.1007/s10916-011-9773-3

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