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

Year: 2025

Type: article

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.

Source: Sylwan

DOI: 10.59879/yqhjy

Authors: B. Dhiyanesh, C.B. Selva Lakshmi, T. Yawanikha, I. Janani, G. Gokila Deepa, K. Chokkanathan

Institutions: SRM Institute of Science and Technology, Karpagam Academy of Higher Education, Sona College of Technology

Language: English

Topic: Artificial Intelligence in Healthcare

Subfield: Health Information Management

Field: Health Professions

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: hybrid

OpenAlex ID: W4409447551

FWCI:

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Related to: 10