A Predictive Model for Heart Disease Risk Using ESVMRF and Advanced Feature Selection Techniques
A major health problem affecting the population worldwide is heart disease. As a result, it is difficult for the heart to function normally and can eventually lead to heart failure, as this condition typically impairs the heart's ability to circulate blood efficiently throughout the body. A significant part of the impact on quality of life is due to the complexity of early heart disease diagnosis methods. A timely diagnosis of heart disease is vital to preventing and treating heart failure effectively.
Authors
- G. Deepa (ORCID: https://orcid.org/0000-0003-2563-1012)
- B. Dhiyanesh
- T. Yawanikha
- I. Janani
- C. Lakshmi
- K. Chokkanathan
Publication Details
- Journal
- Sylwan
- Published
- 2025-01-01
- DOI
- https://doi.org/10.59879/yqhjy
- Primary Topic
- Artificial Intelligence in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 0.00