DASMcC: Data Augmented SMOTE Multi-Class Classifier for Prediction of Cardiovascular Diseases Using Time Series Features

DASMcC: Data Augmented SMOTE Multi-Class Classifier for Prediction of Cardiovascular Diseases Using Time Series Features

One of the leading causes of mortality worldwide is cardiovascular disease (CVD). Electrocardiography (ECG) is a noninvasive and cost-effective tool to diagnose the heart’s health. This study presents a multi-class classifier for the prediction of four different types of Cardiovascular Di...

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Bibliographic Details
Main Authors: Nidhi Sinha, M. A. Ganesh Kumar, Amit M. Joshi, Linga Reddy Cenkeramaddi
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Cardiovascular disease (CVD)
PTB-XL data
machine learning
smart healthcare
ECG
heart failure
Online Access:https://ieeexplore.ieee.org/document/10287352/

Internet

https://ieeexplore.ieee.org/document/10287352/

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