A Comprehensive Analysis on Technique's Used to Predict Heart Disease

Authors

  • Anusha K S  M.Tech Scholar, Department of Computer Science and Engineering, VVCE, Mysuru, Karnataka, India
  • Radhika A D  Assistant Professor, Department of Computer Science and Engineering, VVCE, Mysuru, Karnataka, India

DOI:

https://doi.org//10.32628/CSEIT1953117

Keywords:

Heart Disease, Naive Bayes, K-Means, Genetic Alogrithm, Newral Networks, Prediction

Abstract

As we are in modern and competitive world, we are tending to lead the sophisticated life where in we have forgotten to take care about our life. We are not concentrating on our food habit, mental and physical fitness. We are leading our life towards risk in fact to death. According to recent survey the major reason for death is due to heart attack, one in every four death is due to heart attack. Many technologies have come up effectively to discover the reason for heart attack and predict it before it occurs. In this paper we have made an attempt to analyze those various techniques used to predict the heart disease.

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

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Published

2019-06-30

Issue

Volume 5, Issue 3, May-June-2019

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

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

How to Cite

[1]
Anusha K S, Radhika A D, " A Comprehensive Analysis on Technique's Used to Predict Heart Disease, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 5, Issue 3, pp.380-383, May-June-2019. Available at doi : https://doi.org/10.32628/CSEIT1953117