COMMAX 2020 UiTM Kampus Kuala Terengganu

Project ID: 222

NOR SYAFIQAH BINTI OMAR - CS230

2018424894

Supervisor: WAN DORISHAH BT WAN ABDUL MANAN (PM)

Examiner: SHARIFAH NURULHIKMAH BINTI SYED YASIN

MIGRAINE DIAGNOSIS USING FUZZY EXPERT SYSTEM

Abstract

Medical technology is a broad field where innovation plays a crucial role in sustaining health. The dependence on technology in the healthcare industry can help the healthcare practitioners to improve their practice. Enhancements in medical technology have allowed physicians to do better diagnosis for their patients. Artificial Intelligence is said to be the doctors’ assistance as it can help them to do many tasks such as diagnosing the diseases. Fuzzy Expert System (FES) is used as it is a suitable algorithm to deal with uncertain cases such as diagnosing disease. For this project, FES is used to build migraine diagnosis system as to help the patient runs diagnosis test and acknowledge his or her migraine level before seeking for doctor. There are several steps in building the fuzzy system include fuzzification, fuzzy inference system and defuzzification. Mamdani fuzzy inference system is used as it suitable for human's input which are, for this system, the symptoms of migraine - intensity of headache, duration of headache, sensitivity to light and sound, and vomiting and nausea. The system is being tested by comparing the system's results with actual rules from the expert. Functionality test is also being done by considering users' evaluation when they are using the system.