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

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
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article

A Predictive Model for Heart Disease Risk Using ESVMRF and Advanced Feature Selection Techniques

G. Deepa, B. Dhiyanesh, T. Yawanikha, I. Janani et al.
Sylwan
Artificial Intelligence in Healthcare
article

A Predictive Model for Heart Disease Risk Using ESVMRF and Advanced Feature Selection Techniques

G. Deepa, B. Dhiyanesh, T. Yawanikha, I. Janani, C. Lakshmi, K. Chokkanathan
article en

Abstract

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.

Sylwan
Openalex Percentile: Top 92%
Artificial Intelligence in Healthcare
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