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Atrial Fibrillation Detection On Physionet
Metrics
F1
PR-AUC
ROC-AUC
Results
Performance results of various models on this benchmark
| Paper Title | Repository | ||||
|---|---|---|---|---|---|
| TMF(VGG16-MLP) | 0.8843 | 0.9584 | 0.9550 | Anomaly Detection in Time Series with Triadic Motif Fields and Application in Atrial Fibrillation ECG Classification | |
| MINA | 0.8342 | 0.9436 | 0.9488 | MINA: Multilevel Knowledge-Guided Attention for Modeling Electrocardiography Signals |
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