Knowledge Discovery Technique for Web-Based Diabetes Educational System

Abstract

Diabetes Mellitus (DM) is the most common metabolic disorder. In developing countries, the prevalence of diabetes is increasing. It is important that every country should assess the magnitude of the problem and take steps to control and prevent DM and provide appropriate care. Despite all the advances in diabetes treatment, education remains the cornerstone of diabetes management. Diabetes education classes are useful for providing general information to be tailored to the specific needs of each patient. The web-based method seems to be effective in the continuing education. Therefore, the web-based method is recommended, as complementary to the face-to-face method, for designing and delivering some topics of continuing education programs. Web-based educational technologies allow diabetes educators to study how diabetes patients learn and which learning strategies are most effective. Since webbased educational systems are capable of collecting huge amounts of diabetic patient profile data, knowledge discovery techniques can be applied to find interesting relationships between attributes of diabetic patient, assessments, and the solution strategies adopted by the diabetic patients. This article presents an approach for predicting diabetic patient performance. The importance of this task lies in improving diabetic patient performance and the effective design of the online diabetes related courses.