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A Fuzzy Rule Based Expert System for Early Diagnosis of Osgood Schlatter Disease of Knee Joint

Author

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  • Gagandeep Kaur

    (Lovely Professional University, Phagwara, India)

  • Abhinav Hans

    (Lovely Professional University, Phagwara, India)

  • Anshu Vashisth

    (Lovely Professional University, Phagwara, India)

Abstract

The proposed research work is for the early diagnosis of the inflammatory disease named Osgood-Schlatter disease of the knee joint. As the system deals with fuzzy values, a MATLAB (R2013a) fuzzy logic controller is used for the implementation. The knowledge engineering phase is done with the help of an orthopedic expert. Four symptoms are used for diagnosing the severity of disease. Also, this diagnosis provides the treatment for the respective level of disease. Data collection is completed by the survey method and various defuzzification methods are used to check the accuracy. The proposed system was tested on 25 patients.

Suggested Citation

  • Gagandeep Kaur & Abhinav Hans & Anshu Vashisth, 2020. "A Fuzzy Rule Based Expert System for Early Diagnosis of Osgood Schlatter Disease of Knee Joint," International Journal of Healthcare Information Systems and Informatics (IJHISI), IGI Global, vol. 15(2), pages 38-49, April.
    • Handle: RePEc:igg:jhisi0:v:15:y:2020:i:2:p:38-49
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