An Efficient Expert System For Diabetes By Naïve Bayesian Classifier
Journal Title: INTERNATIONAL JOURNAL OF ENGINEERING TRENDS AND TECHNOLOGY - Year 2013, Vol 4, Issue 10
Abstract
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.
Authors and Affiliations
A. Ambica , Satyanarayana Gandi , Amarendra Kothalanka
Keywords
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