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ML-HeartScan: Predictive Analysis for Cardiovascular Health

International Journal of Computer Techniques – Volume 12 Issue 3, June – 2025

ISSN: 2394-2231 | https://ijctjournal.org/

Disha Tayal1, Mr. Ankur Kumar Varshney2
1Information Technology, Noida Institute of Engineering and Technology (NIET), Greater Noida, India. Email: dishatayal196@gmail.com
2Information Technology, Noida Institute of Engineering and Technology (NIET), Greater Noida, India. Email: N/A

Abstract

The objective of this paper is to develop a machine learning model to predict heart disease based on the relevant parameters. The predictive model is shown with various sets of parameters, and a few of the popular classification types of models. We obtain an improved level of performance with the predictive model for heart disease which gives us an accuracy level of 84%.

Keywords

Risk Factors, Data Features, Machine Learning Algorithms, Predictive Models and Symptoms

References

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How to Cite

Disha Tayal, Mr. Ankur Kumar Varshney, “ML-HeartScan: Predictive Analysis for Cardiovascular Health,” International Journal of Computer Techniques, Volume 12, Issue 3, June 2025. ISSN: 2394-2231

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