HypGB: High Accuracy GB Classifier for Predicting Heart Disease With HyperOpt HPO Framework and LASSO FS Method

HypGB: High Accuracy GB Classifier for Predicting Heart Disease With HyperOpt HPO Framework and LASSO FS Method

Early prediction of cardiovascular disease is crucial for medical experts to make informed decisions. Effective diagnosis of heart disease can help prevent heart failure, heart attacks, stroke, and coronary artery disease. This paper aims to build a high-accuracy heart disease prediction system usin...

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Bibliographic Details
Main Authors: Abbas Jafar, Myungho Lee
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Cardiovascular disease
machine learning algorithms
hyperparameter optimization
redundant features
disease prediction
clinical data analysis
Online Access:https://ieeexplore.ieee.org/document/10341221/

Internet

https://ieeexplore.ieee.org/document/10341221/

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