Fuzzy expert system for medical diagnosis of common headaches

Headache is one of the most common medical complaints.The treatment types of headaches require the diagnosis of these types.The aim of this study was to distinguish and diagnose common headaches by fuzzy logic and fuzzy system.
A fuzzy expert system for the distinguish types of common headaches is presented, the Mamdani modeL was used in fuzzy inference engine using Max-Min as OR-AND operators and Centroid method was used as defuzzification technique.
The fuzzy system was evaluated using data obtained from 150 patients and showed 82% good agreement and high ability in terms of correct diagnosis. Accuracy, Precision, sensitivity, specificity of the system were 86%, 93%, 85%, 88% for migraine , 93%, 91%, 55%, 99% for tension, 97%, 86%, 66%, 99% for headaches resulting from infection and 95%, 85%, 88%, 97% for headaches resulting from increase of ICP, respectively.The Binomial and Chi-Square Test evaluated that between correct and incorrect diagnosis was meaningful difference and the proportion of correct diagnosis (82%) was more than the incorrect diagnosis (18%) (PAccording to proximity of common headaches symptoms, and importance of early diagnosis of headache, and favorable results of the implementation and evaluation of the suggested expert system, therefore this system can be very useful for diagnosis of common headaches with similar symptoms.