Heart Disease Prediction Using a Hybrid Feature Selection and Ensemble Learning Approach

Heart Disease Prediction Using a Hybrid Feature Selection and Ensemble Learning Approach

Heart diseases have become the leading cause of death globally, highlighting the urgent need for robust diagnostic and treatment methods. This study leverages the UCI heart disease dataset to assess the effectiveness of various Machine Learning models in predicting heart diseases. This paper propose...

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Bibliographic Details
Main Authors: Isha Gupta, Anu Bajaj, Manav Malhotra, Vikas Sharma, Ajith Abraham
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Cardiovascular disease
nature-inspired algorithm
feature selection
genetic algorithm
machine learning
optimization
Online Access:https://ieeexplore.ieee.org/document/11053763/
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