An Integrated Two-Layered Voting (TLV) Framework for Coronary Artery Disease Prediction Using Machine Learning Classifiers

An Integrated Two-Layered Voting (TLV) Framework for Coronary Artery Disease Prediction Using Machine Learning Classifiers

Cardiovascular problems have emerged as a significant concern, adversely impacting individuals across all age groups. Several recent research studies have used Machine learning (ML) techniques to design decision-making systems for the tremendous data in the medical sector. Although these works obtai...

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Bibliographic Details
Main Authors: D. Yaso Omkari, Kareemulla Shaik
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
ANOVA f-test
Chi-squared test
decision tree
heart disease
random forest
support vector classifier
Online Access:https://ieeexplore.ieee.org/document/10500702/
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https://ieeexplore.ieee.org/document/10500702/

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