An Efficient Expert System For Diabetes By Naïve Bayesian Classifier
|International Journal of Engineering Trends and Technology (IJETT)||
|© 2013 by IJETT Journal|
|Year of Publication : 2013|
|Authors : A.Ambica , Satyanarayana Gandi , Amarendra Kothalanka|
A.Ambica , Satyanarayana Gandi , Amarendra Kothalanka. "An Efficient Expert System For Diabetes By Naïve Bayesian Classifier". International Journal of Engineering Trends and Technology (IJETT). V4(10):4634-4639 Oct 2013. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group.
In this paper we are proposing an efficient decision support system for Diabetes Disease, apart from the traditional simple support vector machine. We are proposing an efficient two level approach for classifying data. In initial phase we extract optimal feature set from the training data by analyzing the optimality in the dataset, then new dataset is formed as optimal training dataset, now we apply our classification mechanism on the optimal feature set.
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