Imbalanced ECG signal-based heart disease classification using ensemble machine learning technique

Imbalanced ECG signal-based heart disease classification using ensemble machine learning technique

The machine learning (ML)-based classification models are widely utilized for the automated detection of heart diseases (HDs) using various physiological signals such as electrocardiogram (ECG), magnetocardiography (MCG), heart sound (HS), and impedance cardiography (ICG) signals. However, ECG-based...

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Bibliographic Details
Main Authors: Adyasha Rath, Debahuti Mishra, Ganapati Panda
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-10-01
Series:Frontiers in Big Data
Subjects:
ensemble model-based HD detection
classification of HD using imbalanced ECG records
SVM
AdaBoost
LR
Online Access:https://www.frontiersin.org/articles/10.3389/fdata.2022.1021518/full

Internet

https://www.frontiersin.org/articles/10.3389/fdata.2022.1021518/full

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