A Novel Approach for Heart Disease Classification using Feature Selection

Authors

  • UmaDevi R Department of Computer Science, National College, Tiruchirappalli, Tamil Nadu, India
  • Azhakarsamy R Department of Computer Science, National College, Tiruchirappalli, Tamil Nadu, India
  • Sathiaseelan JGR Department of Computer Science, Bishop Heber college, Trichy, India

Keywords:

Data mining, Heart diseases, WEKA, classification, J48, Bagging

Abstract

Heart disease is predicted by classification technique. The data mining tool WEKA has been utilized for implementing J48 classifier. Proposed work is framed with a specific end goal to enhance the execution of models. For improving the classification accuracy J48 is combined with Bagging and Feature Selection. Trial results demonstrated a critical change over in the current J48 classifier. This approach enhances the classification accuracy and reduces computational time

References

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Published

2025-11-18

How to Cite

[1]
R. UmaDevi, R. Azhakarsamy, and J. Sathiaseelan, “A Novel Approach for Heart Disease Classification using Feature Selection”, Int. J. Comp. Sci. Eng., vol. 6, no. 11, pp. 44–48, Nov. 2025.

Issue

Vol. 6 No. 11 (2018): IJCSE Special Issue December Edition

Section

Research Article

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