Design and Development of the Novel Genetic Algorithm Framework for Chronic Kidney Disorder Classification

Authors(2) :-K. Sindhya, Dr. R. Rangaraj

Chronic Kidney Disorder (CKD) is a progressive loss of the renal functions. Classifying the disease with features such as blood pressure, albumin, sugar helps in diagnosing the disease. Machine learning helps in getting accuracy for the classification task. This paper implements the framework for discriminating the CKD based on genetic algorithm. Performance is compared with J48 classifier. Genetic algorithm seems to provide optimal solution for the CKD Classification.

Authors and Affiliations

K. Sindhya
Department of Computer Science, Hindusthan College of Arts and Science, Coimbatore, Tamil Nadu, India
Dr. R. Rangaraj
Department of Computer Science, Hindusthan College of Arts and Science, Coimbatore, Tamil Nadu, India

CKD, Genetic Algorithm, J48 Classifier, Performance Optimization.

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Publication Details

Published in : Volume 2 | Issue 4 | July-August 2017
Date of Publication : 2017-08-31
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 170-175
Manuscript Number : CSEIT172454
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

K. Sindhya, Dr. R. Rangaraj, "Design and Development of the Novel Genetic Algorithm Framework for Chronic Kidney Disorder Classification", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 4, pp.170-175, July-August.2017
URL : http://ijsrcseit.com/CSEIT172454

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