Prediction of Heart Disease Using Data Mining Technique

Authors

  • Joshi R Research scholar, Department of Computer Engineering, YMCA University of Science &Technology, Faridabad
  • Sethi S Assistant Prof, Department of Computer Application, YMCA University of Science &Technology, Faridabad

DOI:

https://doi.org/10.26438/ijcse/v6i12.305309

Keywords:

Heart disease Prediction, Naive Bayes, Technique

Abstract

In the past few decades, heart diseases had been found as leading cause of death across the world. But at the same time, it is also discovered as most preventable and controllable disease. Further, it is identified that its early and timely diagnosis helps in controlling its growth and reducing treatment cost remarkably. So it become essential to discover accurate and reasonable tools capable of extracting high risk data for timely diagnosis of such a critical disease The proposed work aims to identify vital parameters leading to heart diseases and develop a model based on data mining techniques.

References

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Published

2018-12-31
CITATION
DOI: 10.26438/ijcse/v6i12.305309
Published: 2018-12-31

How to Cite

[1]
R. Joshi and S. Sethi, “Prediction of Heart Disease Using Data Mining Technique”, Int. J. Comp. Sci. Eng., vol. 6, no. 12, pp. 305–309, Dec. 2018.

Issue

Vol. 6 No. 12 (2018): IJCSE December Editor

Section

Research Article

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