Prediction of Diabetes Disease of Type-I and Type-II Using Back-Propagation Neural Network

Diabetes is becoming a common disease among users worldwide. Some common factors contributing are wrong eating habit and lifestyle. A large population from developed and developing countries are suffering from numerous forms of diabetes. The medical industries are investing in research for better prevention and medicine for suffering patients. Every year diabetes patients spend millions of dollars for insulin and other measures. Researchers are working to find a solution which can improve the life of diabetes patients. Machine learning has promising applicability and Artificial intelligence systems with Back Propagation Network can be fruitful for providing effective solutions in finding diabetes. A neural Network based approach is used for improving the accuracy of proposed work. Neural Network based model undergoes training for minimizing errors and improving precision for detecting individuals with diabetes or no diabetes.