DESIGN AND DEVELOP AN EXPERT SYSTEM FOR DIAGNOSIS AND TREATMENT OF DIABETES USING DATA MINING TECHNIQUES

Kedir Eyasu Abdulkadir

Kedir Eyasu Abdulkadir Lecturer, Faculty of Engineering and Technology, Computer Science Department, Mettu University, Mettu, Ethiopia.

Keywords: Diabetes, Health Facilities, Data Mining, Algorithms

Abstract

Diabetes is a disease that affects the body’s ability to produce or use insulin. According to International diabetes Federation, Ethiopia is one of the 32 countries in African region. 425 million people have diabetes in the world and more than 16 million people in the Africa Region; by 2045, it will be around 41 million. There were 2.567.900 cases of diabetes in Ethiopia in 2015.In the incident of Ethiopia different problems are observed in health care centers. From different perspectives, these problems are the scarcity of domain experts, practitioners, domain experts’ skills, health facilities etc. The general objective of this study is to design and develop prototype knowledge based system using data mining techniques for diagnosis and treatment of diabetes. In this study, to develop prototype knowledge base system using data mining techniques for diagnosis and treatment of diabetes is proposed by applying experimental research design. The researcher used domain expert knowledge as supplement of data mining techniques knowledge.

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