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

Journal of Medical Systems volume 36, pages 2947–2958 (2012)Cite this article

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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Acknowledgment

I would like to appreciate my family, professors, and friends all who gave me the possibility to complete this research.

Conflict of interests

None of the authors have any financial or personal conflict of interest that could inappropriately influence the writing or publication of this manuscript.

Author information

Affiliations

  1. Mathematic and informatics group, ACECR, Department of Information Technology Management, Tarbiat Modares University, Tehran, Iran

    Maryam Zolnoori

  2. Faculty of Industrial Engineering, Amirkabir University, Tehran, Iran

    Mohammad Hosain Fazel Zarandi

  3. Asthma, Immunology, Allergy Research Center, Tehran University, Tehran, Iran

    Mostafa Moin

  4. Shahid Beheshti of Medical Science and Health Services, Tehran, Iran

    Mehran Taherian

Authors
  1. Maryam Zolnoori
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  2. Mohammad Hosain Fazel Zarandi
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  3. Mostafa Moin
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  4. Mehran Taherian
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Correspondence to Maryam Zolnoori.

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Zolnoori, M., Fazel Zarandi, M.H., Moin, M. et al. Fuzzy Rule-Based Expert System for Evaluating Level of Asthma Control. J Med Syst 36, 2947–2958 (2012). https://doi.org/10.1007/s10916-011-9773-3

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  • DOI: https://doi.org/10.1007/s10916-011-9773-3

Keywords

  • Asthma
  • Asthma level control
  • Evaluation
  • Fuzzy
  • Expert system