Simple models vs. deep learning in detecting low ejection fraction from the electrocardiogram
Work
Year: 2024
Type: article
Abstract: Aims Deep learning methods have recently gained success in detecting left ventricular systolic dysfunction (LVSD) from electrocardiogram (ECG) waveforms. Despite their high level of accuracy, they ar... more
Institutions Stanford University, Columbia University Irving Medical Center, Cedars-Sinai Smidt Heart Institute, Cedars-Sinai Medical Center
Cites: 35
Cited by:
Related to: 10
FWCI:
Citation percentile (by year/subfield):
Topic: ECG Monitoring and Analysis
Subfield: Cardiology and Cardiovascular Medicine
Field: Medicine
Domain: Health Sciences
Sustainable Development Goal Life on land
Open Access status: gold
APC paid (est): $3,018