Diagnosis of diabetes using fuzzy inference system

Diabetes is worldwide problem. It is rapidly increase disease in the world. Diabetes, referred as diabetes mellitus it is organic process in which the person has increase blood glucose (blood sugar), either because insulin origination is deficient, or body's cells do not behave properly to insulin which is produce. Early investigate of diabetes is an important objection. Existing system had so many drawbacks. In previous system are many classification techniques or methodologies for diagnosis of diabetes like Neural Network, Naive Bayes, and Support vector machine. But performance is idle of existing system. In early stage existing methologies do not diagnosis diabetes. In this paper we are proposing a quicker and more valuable technique to diagnosis of diabetes using distinct classification technique and Fuzzy inference System. User only needs to give some physical parameter. On the basis of providing information, in early stage fuzzy inference system diagnosis of diabetes whether that person is suffering or not. And recommend treatment on particular diabetes type.