Application Of Fuzzy Logic For Risk Determination Of Type 2 Diabetes Disease

Abstract

Diabetes is a disease caused by insucfficent production of insulin by the organ called pancreas. If the insulin secretion in the patient is absent or too small, then it is called diabetes type 1; if the amount of insulin or its effect is insufflcient, it is called diabtes type 2. Nowadays, the topic of diabetes type 2 . becoming increasingly prevalent, even at very young ages. Of course, this spreading has multiple causes. People with diabetes in their family, fat people, people living under stress,are more likely to be sick with diabetes. It is sufficient to several values in the patient's blood analysis for the determination of diabetes type 2. However, determining the exact value of the risk of this disease is difficult for some reasons. In this study, a fuzzy control system is presented to aid physicians in the diagnosis and to identify a risk value of type 2 diabetes.