Diabetes Risk Evaluation Expert System (DREES)

Woo , Zhi Xuan (2010) Diabetes Risk Evaluation Expert System (DREES). Project Report. UTeM, Melaka,Malaysia. (Submitted)

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Abstract

The purpose of this project is to develop a quality web-based medical expert system that incorporates Mamdani-type fuzzy inference technique and works in the fields of diabetes disease. The main objective of the system is to assist people in evaluate the diabetes risk. This aim is achievable by developing a classified system based on Mamdani-type fuzzy inference technique for evaluate diabetes risk. The system is called Diabetes Risk Evaluation Expert System (DREES). Mamdani-type fuzzy inference technique is the most commonly seen fuzzy logic methodology which mainly uses to handle imprecise and uncertain information in the computations. DREES is constructed based on objectoriented analysis and design (OOAD) methodology. Object-oriented analysis and design (OOAD) is the software engineering approach that models a system as a group of interacting objects. DREES is a three-tier architecture web application. The system not only consist diabetes risk analysis function but also provides the diabetic dietary, diabetes information and nutrition menu. With this system, the system users can easily identify about their diabetes risk and gain the information related to health and diabetes. DREES is tested via white-box and black-box strategy. It is successfully achieving its functional and non functional requirement. DREES will give full benefits to the public to support them toward healthy life. However, DREES is still consists a lot of limitation. It can only use to diagnosis the diabetes risk and its site appearance in MoziIlaIFirefox and IE web browser is not as good as it is in Google Chrome web browser.

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