Application of artificial intelligence ensemble learning model in early prediction of atrial fibrillation
Abstract Background Atrial fibrillation is a paroxysmal heart disease without any obvious symptoms for most people during the onset. The electrocardiogram (ECG) at the time other than the onset of this disease is not significantly different from that of normal people, which makes it difficult to det...
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| Auteurs principaux: | , , , , , , , , |
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| Format: | article |
| Langue: | EN |
| Publié: |
BMC
2021
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| Sujets: | |
| Accès en ligne: | https://doaj.org/article/dc335e28fd3c4e2a84533e1c01858bbd |
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