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Implementation of Back-Propagation Algorithm for Renal Datamining
S Sai, P.Thrimurthy, S.Purushothaman
Pages - 35 - 47     |    Revised - 15-04-2008     |    Published - 30-04-2008
Volume - 2   Issue - 2    |    Publication Date - April 2008  Table of Contents
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ABSTRACT
The present medical era data mining place a important role for quick access of appropriate information. To achieve this full automation is required which means less human interference. Therefore automatic renal data mining with decision making algorithm is necessary. Renal failure contributes to major health problem. In this research work a distributed neural network has been applied to a data mining problem for classification of renal data to have for proper diagnosis of patient. A multi layer perceptron with back propagation algorithm has been used. The network was trained offline using 500 patterns each of 17 inputs. Using the weight obtained during training, fresh patterns were tested for accuracy of diagnosis.
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Mr. S Sai
Dept of MCA Hindu College PG Courses - India
Mr. P.Thrimurthy
Dept. of Computer Science & Engg. - India
Dr. S.Purushothaman
Sun College of Engineering and Technology - India
dr.s.purushothaman@gmail.com