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A Modified Radial Basis Functional Neural Networks for Predict Diabetes
Abstract
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 RBF Neural Networks is the data mining technique used to predict the diabetes disease. This new modified method is used to predict the blood glucose level for the diabetes patients. The proposed MRBFNN 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 RBFNN obtained better results than the exiting RBF method and other neural networks.
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References
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