Identifying patients with paroxysmal atrial fibrillation from sinus rhythm ECG using random forests
Author:
Publisher
Elsevier BV
Subject
Artificial Intelligence,Computer Science Applications,General Engineering
Reference50 articles.
1. A deep learning approach for real-time detection of atrial fibrillation;Andersen;Expert Systems with Applications,2019
2. An artificial intelligence-enabled ECG algorithm for the identification of patients with atrial fibrillation during sinus rhythm: a retrospective analysis of outcome prediction;Attia;The Lancet,2019
3. A new deep learning algorithm of 12-lead electrocardiogram for identifying atrial fibrillation during sinus rhythm;Baek;Scientific Reports,2021
4. A survey on ECG analysis;Berkaya;Biomedical Signal Processing and Control,2018
5. Random forests;Breiman;Machine Learning,2001
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