DESIGNING A RULE BASED FUZZY EXPERT CONTROLLER FOR EARLY DETECTION AND DIAGNOSIS OF DIABETES

It can be easily inferred that improvement in Technology has grown manifold over the years. A large variety of applications have become more compact and concise. Medical field is no exception. However, success rate in medical field has still not reached acceptable limits. The work carried out aims at providing necessary support and assistance to the doctor in getting reliable results. Four specific diseases have been taken into consideration, namely heart disease, kidney disease, diabetic retinopathy and joint disease. A wide variety of parameters have been taken into consideration. A fuzzy expert system has been designed to identify the relationships based on patient's data. This system is in turn used to identify mechanisms for effective disease support application.