ML-ECG-COVID: A Machine Learning-Electrocardiogram Signal Processing Technique for COVID-19 Predictive Modeling

ML-ECG-COVID: A Machine Learning-Electrocardiogram Signal Processing Technique for COVID-19 Predictive Modeling

Since the outbreak of coronavirus also known as COVID-19, there have been several studies on the disease. This study investigates patients’ electrocardiography (ECG) properties for an accurate prediction of this infectious disease. Our findings will be useful to medical practitioners in t...

Full description

Bibliographic Details
Main Authors: John Irungu, Timothy Oladunni, Andrew C. Grizzle, Max Denis, Marzieh Savadkoohi, Esther Ososanya
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Support vector machine (SVM)
random forest
QRS complex
K-nearest neighbor (KNN)
electrocardiogram (ECG)
Online Access:https://ieeexplore.ieee.org/document/10325461/

Internet

https://ieeexplore.ieee.org/document/10325461/

Similar Items