Harnessing Machine Learning for Predicting Atrial Fibrillation from Electrocardiogram Signals
Background: Deep learning (DL) models can discern electrocardiogram (ECG) reports to identify individuals at risk for atrial fibrillation (AF). The etiology of AF in India differs from the West, with a high prevalence of valvular heart disease (mainly rheumatic). This study evaluates a DL model of 1...
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| Principais autores: | , , , |
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| 格式: | Artigo |
| 語言: | Inglês |
| 出版: |
Wolters Kluwer Medknow Publications
2025-09-01
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| 叢編: | Journal of the Practice of Cardiovascular Sciences |
| 主題: | |
| 在線閱讀: | https://journals.lww.com/10.4103/jpcs.jpcs_35_25 |
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