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Implementation of Back-Propagation Algorithm for Renal Datamining
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International Journal of Computer Science and Security (IJCSS)
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Volume:  2    Issue:  2
Pages:  1-47
Publication Date:   April 2008
ISSN (Online): 1985-1553
35 - 47
S Sai - India
P.Thrimurthy - India
S.Purushothaman - India
Published Date   
CSC Journals, Kuala Lumpur, Malaysia
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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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1 W. Ali and S. M. Shamsuddin, “Integration of Least Recently Used Algorithm and Neuro-Fuzzy System into Client-Side Web Caching”, International Journal of Computer Science and Security (IJCSS), 3(1), pp. 1 – 15, 2009.
S Sai : Colleagues
P.Thrimurthy : Colleagues
S.Purushothaman : Colleagues  
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