Knowledge Acquisition for Developing Knowledge-Base of Diabetic Expert System

Diabetes is a serious health problem today. Most of the people are unaware that they are in risk of or may even have type-2 diabetes. Type-2 diabetes is becoming more common due to risk factors like older age, obesity, lack of exercise, family history of diabetes, heart diseases . Along with good lifestyle and healthy diet, reduces the risk of development of type 2 diabetes for treatment of elder people , proper care of diet, exercise and medication as well is more important.. The research in developing intelligence knowledge base systems in diabetic domain is important for both health industry and diabetes patients. Recently expert systems technology provides an efficient tools for diagnosing diabetes and hence providing a sufficient treatment. The main challenge in building such systems is the knowledge acquisition and developing of the knowledge base of these systems. Our research was motivated by the need of such an efficient tool. The main objective of this paper is gathering knowledge acquisition for developing the knowledge base of diabetic type-2 diet. Therefore, the paper presents the main phases of knowledge acquisition process on the development of fully automated healthy meal planner for diaptic-type-2. Key-Words: expert systems semantic network, diabetic diet, type 2 diabetes, rule-base.