THE RECOGNITION OF MIGRAINE HEADACHE BY DESIGNING FUZZY EXPERT SYSTEM AND USING LEARNING FROM EXAMPLES (LFE) ALGORITHM

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KHAYAMNIA MONIREH; YAZDCHI MOHAMMADREZA; FOROUGHIPOUR MOHSEN

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Journal: Journal of Isfahan Medical School Year:2017 | Volume:34 | Issue:416 Page(s): 1680-1685

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Information Journal Paper

Title

THE RECOGNITION OF MIGRAINE HEADACHE BY DESIGNING FUZZY EXPERT SYSTEM AND USING LEARNING FROM EXAMPLES (LFE) ALGORITHM

Author(s)

KHAYAMNIA MONIREH | YAZDCHI MOHAMMADREZA | FOROUGHIPOUR MOHSEN | Issue Writer Certificate

Keywords

HEADACHEQ3

MIGRAINEQ2

FUZZY EXPERT SYSTEMQ1

LEARNING FROM EXAMPLES (LFE) ALGORITHMQ1

RECOGNITIONQ3

Abstract

Background: The MIGRAINE HEADACHE is a kind of most populated HEADACHE which its prevalence rate is so high.The first step for starting the treatment is the RECOGNITION stage. In addition, the fuzzy logic has good power for describing enigmatic and imprecise aspects; so, this tool could be used for the system modeling. This research aimed to recognize the MIGRAINE via using fuzzy logic and systems.Methods: A FUZZY EXPERT SYSTEM for diagnosis of MIGRAINE via Learning from Examples (LFE) algorithm was presented. Mamdani model was used in fuzzy inference engine using Max-Min as Or-And operators and Centroid method was used as defuzzification technique.Findings: Using the data of 148 patients, the MIGRAINE diagnostic system was trained by LFE algorithm and in average, 80 pieces of If-Then rules were produced for fuzzy system. The accuracy, precision, sensitivity, and specificity of the system were 97%, 80%, 70%, and 94%, respectively. Using the MIGRAINE diagnostic system by human experts, it was proved that the system had the ability of correct RECOGNITION by the rate of 81%.Conclusion: As the linguistic rules may be incomplete when human expert express their knowledge and according to importance of early diagnosis and favorable results, the LFE training algorithm is more effective than human experts system for RECOGNITION of MIGRAINE HEADACHE.

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References

GENERATING FUZZY RULES BY LEARNING FROM EXAMPLES

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APA: Copy

KHAYAMNIA, MONIREH, YAZDCHI, MOHAMMADREZA, & FOROUGHIPOUR, MOHSEN. (2017). THE RECOGNITION OF MIGRAINE HEADACHE BY DESIGNING FUZZY EXPERT SYSTEM AND USING LEARNING FROM EXAMPLES (LFE) ALGORITHM. JOURNAL OF ISFAHAN MEDICAL SCHOOL (I.U.M.S), 34(416), 1680-1685. SID. https://sid.ir/paper/50654/en

Vancouver: Copy

KHAYAMNIA MONIREH, YAZDCHI MOHAMMADREZA, FOROUGHIPOUR MOHSEN. THE RECOGNITION OF MIGRAINE HEADACHE BY DESIGNING FUZZY EXPERT SYSTEM AND USING LEARNING FROM EXAMPLES (LFE) ALGORITHM. JOURNAL OF ISFAHAN MEDICAL SCHOOL (I.U.M.S)[Internet]. 2017;34(416):1680-1685. Available from: https://sid.ir/paper/50654/en

IEEE: Copy

MONIREH KHAYAMNIA, MOHAMMADREZA YAZDCHI, and MOHSEN FOROUGHIPOUR, “THE RECOGNITION OF MIGRAINE HEADACHE BY DESIGNING FUZZY EXPERT SYSTEM AND USING LEARNING FROM EXAMPLES (LFE) ALGORITHM,” JOURNAL OF ISFAHAN MEDICAL SCHOOL (I.U.M.S), vol. 34, no. 416, pp. 1680–1685, 2017, [Online]. Available: https://sid.ir/paper/50654/en

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