Fuzzy expert system for medical diagnosis of common headaches

khayamnia, monireh and Yazdchi, Mohamad reza and Heidari, Aghile and Frughi pur, Mohsen (2016) Fuzzy expert system for medical diagnosis of common headaches. medical journal of mashhad university of medical sciences, 59 (5). pp. 293-301.

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Abstract

Abstract Introduction: 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. Methods: 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. Results: 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) (P<0/001).To measure agreement of system results with the physician diagnosis, Kappa statistics was employed and showed a high relation,71 ,65,74 and 84 for migraine, tension, headaches resulting from infection and headaches resulting from increase of ICP, respectively. Conclusion:According 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.

Item Type: Article
Subjects: WA Public Health
WH Hemic and Lymphatic System
Divisions: Journals > Medical J Mashhad University of Medical Sciences
Depositing User: mjmums mjmums
Date Deposited: 19 Sep 2017 14:59
Last Modified: 19 Sep 2017 14:59
URI: http://eprints.mums.ac.ir/id/eprint/1238

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