The paper entitled "Prediction of Diabetes using Modified Radial basis Functional Neural Networks" is used to predict the diabetes for the patients. Nowadays Data Mining techniques are used to predict the diseases of health care industry. This technique is to find out the information which is hidden in the dataset. Modified Radial basis Functional Neural Networks is the Data Mining technique used to predict the diabetes disease, Modified Radial basis Functional Neural Networks is a Data Mining technique based classification model as one of the powerful method in intelligent field for classifying diabetic patients. This new modified method is used to predict the blood glucose level for the diabetes patients. The proposed approaches are evaluated by the Pima Indian Diabetes data sets, were the Pima Indian Diabetes data set is a data mining dataset. It is observed from the experimental results that the modified RBF obtained better results than the exiting RBF method and other neural network.

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Data Mining Artificial Neural Network Diabetes Mrbf Rbf