Diabetes Diagnosis using Artificial Neural Network

In this paper, we present a study on the diagnosis of diabetes using different supervised learning algorithms of Artificial Neural Network. The network is trained using the data of about 250 diabetes patients between the age group,25 to 78 years. The performance of each algorithm is further compared through regression analysis. The prediction accuracy of the best algorithm is computed to validate accurate prediction.