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

Gagandeep Kaur, Abhinav Hans, Anshu Vashisth

Source Title: International Journal of Healthcare Information Systems and Informatics (IJHISI)15(2)

ISSN: 1555-3396|EISSN: 1555-340X|EISBN13: 9781522597964|DOI: 10.4018/IJHISI.2020040103

MLA

Kaur, Gagandeep, et al. "A Fuzzy Rule Based Expert System for Early Diagnosis of Osgood Schlatter Disease of Knee Joint." IJHISI vol.15, no.2 2020: pp.38-49. http://doi.org/10.4018/IJHISI.2020040103

APA

Kaur, G., Hans, A., & Vashisth, A. (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), 15(2), 38-49. http://doi.org/10.4018/IJHISI.2020040103

Chicago

Kaur, Gagandeep, Abhinav Hans, and Anshu Vashisth. "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) 15, no.2: 38-49. http://doi.org/10.4018/IJHISI.2020040103

Export Reference

Favorite Full-Issue Download

View Full Text HTML

View Full Text PDF

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.