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most citedEnd-to-end Risk Prediction of Atrial Fibrillation from the 12-Lead ECG by Deep Neural Networks

22 citations · 24 across the 2 of their papers we have counts for

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cs.LG2023★ 22 cited

End-to-end Risk Prediction of Atrial Fibrillation from the 12-Lead ECG by Deep Neural Networks

Theogene Habineza, Antônio H. Ribeiro, Daniel Gedon +3

Background: Atrial fibrillation (AF) is one of the most common cardiac arrhythmias that affects millions of people each year worldwide and it is closely linked to increased risk of…