Performance Analysis of Convolutional Network System for Heart Disease Prediction

Authors

  • M. David J Department of Computer Applications MES College Marampally, India
  • Sarika S Department of Computer Applications MES College Marampally, India

DOI:

https://doi.org/10.26438/ijcse/v9i2.1722

Keywords:

Heart disease, Deep learnin, Classification

Abstract

Heart is one of the major parts of human body, which maintains life line. It pumps the blood and supplies to all parts of the body. Heart disease prediction is significant work. Here we propose a Heart disease prediction model and is a hybrid intelligent system developed using classifier such as deep learning, feature extraction tools, and normalization methods. This intelligent system shows the high accuracy than the other datamining classifier. In this paper, the proposed model will help the medical field to reduces the cost and work load, and also ensures the accuracy of result. This System is very efficient and effective.

References

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Published

2021-02-28
CITATION
DOI: 10.26438/ijcse/v9i2.1722
Published: 2021-02-28

How to Cite

[1]
J. M. David and S. Sarika, “Performance Analysis of Convolutional Network System for Heart Disease Prediction”, Int. J. Comp. Sci. Eng., vol. 9, no. 2, pp. 17–22, Feb. 2021.

Issue

Section

Research Article