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International Journal of Research and Analytical Reviews (IJRAR)

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E-ISSN 2348-1269, P- ISSN 2349-5138 | ESTD Year: 2014

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  Paper Title  

PREDICTION OF CHRONIC KIDNEY DISEASE USING WEIGHTED ASSOCIATIVE CLASSIFIER (WAC)

  Authors

  D. Rajesh

  Keywords

Data mining, Associative Classification, WAC

  Abstract


Data Mining in Healthcare has become a present trend for obtaining accurate results of medical diagnosis. Chronic Kidney Disease (CKD) has become an international fitness problem and is a place of concern. It is a situation where kidneys turn out to be damaged and cannot filter toxic wastes within the frame. By using Data Mining Techniques, researchers have the scope to predict the Chronic Kidney Disease. Enormous data mining techniques are existing for predicting diseases namely classification, clustering, association rules, summarizations, regression and etc. The main objective of this research work is to predict kidney diseases using classification algorithms such as Associative classification. This helps doctors to diagnose and suggest the treatment at an early stage. It also helps the patients to know about their health condition at an earlier stage and follow necessary diet and prescriptions.

  Cite this article

  D. Rajesh,   "PREDICTION OF CHRONIC KIDNEY DISEASE USING WEIGHTED ASSOCIATIVE CLASSIFIER (WAC)", IJRAR - International Journal of Research and Analytical Reviews (IJRAR), E-ISSN 2348-1269, P- ISSN 2349-5138, Volume.6, Issue 2, Page No pp.149-151, June 2019, Available at : http://www.ijrar.org/IJRAR1ANP022.pdf  

  IJRAR's Publication Details

  Unique Identification Number - IJRAR1ANP022

  Paper ID - 201570

  Page Number(s) - 149-151

  Pubished in - Volume 6 | Issue 2 | June 2019

  DOI (Digital Object Identifier) -   

  Publisher Name - IJRAR | www.ijrar.org | E-ISSN 2348-1269, P- ISSN 2349-5138

  E-ISSN 2348-1269, P- ISSN 2349-5138

  Cite this article

  D. Rajesh,   "PREDICTION OF CHRONIC KIDNEY DISEASE USING WEIGHTED ASSOCIATIVE CLASSIFIER (WAC)", IJRAR - International Journal of Research and Analytical Reviews (IJRAR), E-ISSN 2348-1269, P- ISSN 2349-5138, Volume.6, Issue 2, Page No pp.149-151, June 2019, Available at : http://www.ijrar.org/IJRAR1ANP022.pdf

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The IJRAR - International Journal of Research and Analytical Reviews (IJRAR) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world.


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