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

Authors

  • 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

Keywords:

CKD, Genetic Algorithm, J48 Classifier, Performance Optimization.

Abstract

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.

References

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2017-08-31

Issue

Volume 2, Issue 4, July-August-2017

Section

Research Articles

License

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Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
K. Sindhya, Dr. R. Rangaraj, " Design and Development of the Novel Genetic Algorithm Framework for Chronic Kidney Disorder Classification, IInternational 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.