Paper Info
Title
Application of intelligent systems in asthma disease: designing a fuzzy rule-based system for evaluating level of asthma exacerbation.
Abstract
This paper discusses the capacities of artificial intelligence in the process of asthma diagnosing and asthma treatment. Developed intelligent systems for asthma disease have been classified in five categories including diagnosing, evaluating, management, communicative facilities, and prediction. Considering inputs, results, and methodologies of the systems show that by focusing on meticulous analysis of quality of life as an input variable and developing patient-based systems, under-diagnosing and asthma morbidity and mortality would decrease significantly. Regard to the importance of accurate evaluation in accurate prescription and expeditious treatment, the methodology of developing a fuzzy expert system for evaluating level of asthma exacerbation is presented in this paper too. The performance of this system has been tested in Asthma, Allergy, and Immunology Center of Iran using 25 asthmatic patients. Comparison between system's results and physicians' evaluations using Kappa coefficient (K) reinforces the value of K = 1. In addition this system assigns a degree in gradation (0-10) to every patient representing the slight differences between patients assigned to a specific category.
Year
DOI
Venue
2012
10.1007/s10916-011-9671-8
J. Medical Systems
Keywords
Field
DocType
Intelligent systems, Fuzzy, Asthma, Asthma exacerbation
Severity of illness,Asthma,Intelligent decision support system,Quality of life,Fuzzy logic,Cohen's kappa,Medical emergency,Exacerbation,Medicine,Medical prescription
Journal
Volume
Issue
ISSN
36
4
0148-5598
Citations 
PageRank 
References 
4
0.50
20
Authors
3
Name
Order
Citations
PageRank
Maryam Zolnoori1146.29
Mohammad Hossein Fazel Zarandi218919.38
Mostafa Moin3283.02