Heart disease prediction using remote consultation and machine learning techniques

Authors

  • Hemadri A D School of Computing and Information Technology, REVA University, Bengaluru, India.
  • Kumar Raja D R School of Computer Science and Engineering, REVA University, Bengaluru, India
  • G. Hemanth Kumar School of Electronics Communication and Engineering, REVA University, Bengaluru, India

Keywords:

Accuracy, heart diseases, machine learning, prediction, diagnosis

Abstract

Heart disease is one of the major problems facing today lifestyle. There have been too many instances when you or someone else needed immediate medical attention, but for some reason you could not. Heart Disease Prediction Application is a support and online consultation application for end users. Here, we proposed heart disease prediction application that allows users to receive guidance from the heart through the process of machine learning algorithms. This application can also be used for free online heart disease counselling and the system acts as a decision support system and proved to be an aid for the physician for the diagnosis with the help of the data set.

References

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Published

2022-08-23

How to Cite

Hemadri A D, Kumar Raja D R, & G. Hemanth Kumar. (2022). Heart disease prediction using remote consultation and machine learning techniques. International Journal of Computational Learning & Intelligence, 1(1), 9–16. Retrieved from https://milestoneresearch.in/JOURNALS/index.php/IJCLI/article/view/26

Issue

Section

RESEARCH ARTICLES