مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

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Information Journal Paper

Title

A FUZZY RULE-BASED EXPERT SYSTEM FOR DIAGNOSING ASTHMA

Pages

  129-142

Abstract

 Asthma is a chronic lung disorder of which the number of sufferers estimated to be between 1.4-27.1% of the population in different areas of the world. Results of various studies show that ASTHMA is usually under-diagnosed, especially in developing countries, because of limited access to medical specialist and laboratory data. The purpose of this paper is to design a fuzzy rule-based expert system to alleviate this hazard by diagnosing ASTHMA at initial stages. A knowledge representation of this system is provided from a high level, based on patient perception, and organized into two different structures called Type A and Type B. Type A is composed of six modules, including symptoms, allergic rhinitis, genetic factors, symptom hyper-responsiveness, medical factors and environmental factors. Type B is composed of 8 modules including symptoms, allergic rhinitis, genetic factors, and response to short-term drug use, bronchodilator tests, challenge tests, PEF tests and exhaled nitric oxide. The final result of every system is de-fuzzifed in order to provide the assessment of the possibility of ASTHMA for the patient. Verification and validations criteria are considered throughout a life-cycle; the system was developed by the participation of general physicians, experienced ASTHMA physicians and ASTHMAtic patients.

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    APA: Copy

    FAZEL ZARANDI, M.H., ZOU ALNOURI, M., MOEIN, M., & HEYDARNEZHAD, H.. (2010). A FUZZY RULE-BASED EXPERT SYSTEM FOR DIAGNOSING ASTHMA. SCIENTIA IRANICA, 17(2 (TRANSACTION E: INDUSTRIAL ENGINEERING)), 129-142. SID. https://sid.ir/paper/290017/en

    Vancouver: Copy

    FAZEL ZARANDI M.H., ZOU ALNOURI M., MOEIN M., HEYDARNEZHAD H.. A FUZZY RULE-BASED EXPERT SYSTEM FOR DIAGNOSING ASTHMA. SCIENTIA IRANICA[Internet]. 2010;17(2 (TRANSACTION E: INDUSTRIAL ENGINEERING)):129-142. Available from: https://sid.ir/paper/290017/en

    IEEE: Copy

    M.H. FAZEL ZARANDI, M. ZOU ALNOURI, M. MOEIN, and H. HEYDARNEZHAD, “A FUZZY RULE-BASED EXPERT SYSTEM FOR DIAGNOSING ASTHMA,” SCIENTIA IRANICA, vol. 17, no. 2 (TRANSACTION E: INDUSTRIAL ENGINEERING), pp. 129–142, 2010, [Online]. Available: https://sid.ir/paper/290017/en

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