Prediction of Diabetes Rate Using Data Mining

Diabetes is one of the significant diseases directly or indirectly responsible for fatalities across the world. Data mining techniques are used in the health care sector to diagnose and early detection of ailments. The factors which contribute to diabetes are considered in the present work. We are investigating the features which are contributing towards individuals getting affected by diabetes. The independence or dependence of existing features in any individual has been investigated. The supervised learning algorithm shows an accuracy of 94.65%.