Machine Learning for Detecting Atrial Fibrillation from ECGs: Systematic Review and Meta-Analysis
Background: Atrial fibrillation (AF) is a common arrhythmia that can result in adverse cardiovascular outcomes but is often difficult to detect. The use of machine learning (ML) algorithms for detecting AF has become increasingly prevalent in recent years. This study aims to systematically evaluate...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IMR Press
2024-01-01
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| Series: | Reviews in Cardiovascular Medicine |
| Subjects: | |
| Online Access: | https://www.imrpress.com/journal/RCM/25/1/10.31083/j.rcm2501008 |