Atrial Fibrillation Detection On Physionet
Metrics
F1
PR-AUC
ROC-AUC
Results
Performance results of various models on this benchmark
Model Name | F1 | PR-AUC | ROC-AUC | 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 |
0 of 2 row(s) selected.