Enhanced Diagnosis of Heart Disease: A Comparative Analysis of Machine Learning Algorithms

Authors

  • Dr. Brajesh Kumar

Keywords:

Heart Disease, Machine Learning, Diagnosis, Classification, Random Forest, Decision Tree, Support Vector Machine, Ensemble Learning, Feature Engineering, Predictive Analytics

Abstract

Heart disease remains a leading cause of mortality worldwide. Accurate and early detection iscrucial for timely intervention. This study presents a comparative analysis of machine learning(ML) algorithms applied to heart disease diagnosis.

References

El-Sofany, H. et al. (2024). A proposed technique for predicting heart disease using machine learning. Scientific Reports.

Ahmad, A.A. et al. (2023). Prediction of Heart Disease Based on Machine Learning Using the Cleveland Dataset. BioMed Central.

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Published

2024-01-20

How to Cite

Dr. Brajesh Kumar. (2024). Enhanced Diagnosis of Heart Disease: A Comparative Analysis of Machine Learning Algorithms. Journal of Computational Analysis and Applications (JoCAAA), 32(1), 919–929. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/3459

Issue

Vol. 32 No. 1 (2024): JOCAAA

Section

Articles

License

Creative Commons License

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