Diagnosis and Management of Diabetes Mellitus through a Knowledge-Based System

The chronic disease diabetes mellitus is increasing worldwide. It is caused by absolute or relative deficiency of insulin, and is associated with a range of severe complications including renal and cardiovascular disease as well as blindness. Preventive care helps in controlling the severity of this disease; however, preventive measures require correct educational awareness and routine health checks. Medical doctors help in effective diagnosis as well as treatment of diabetes, although it is associated with high costs. With this view, the purpose of the present research is to develop a low-cost automated knowledgebased system that helps in self-diagnosis and management of this chronic disease for patients as well as doctors. Our knowledge-based system has an easy computer interface, which performs the diagnostic tasks using rules acquired from medical doctors on the basis of patient data. At present our system consists of 26 rules and it has been implemented using Prolog programming. Some real-life experimentations were performed, which confirmed the effectiveness of the developed system.