Ecg Classification On Physionet Challenge 1
Métriques
PhysioNet Challenge score 2021
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | PhysioNet Challenge score 2021 | Paper Title | Repository |
|---|---|---|---|
| Classifier Chain (4-lead) | -0.63 | Multi-Label ECG Classification Using Convolutional Neural Networks in a Classifier Chain | |
| Local Lead Attention | 0.521 | Reading Between the Leads: Local Lead-Attention Based Classification of Electrocardiogram Signals | |
| Classifier Chain (3-lead) | -0.60 | Multi-Label ECG Classification Using Convolutional Neural Networks in a Classifier Chain | |
| Classifier Chain (2-lead) | -0.63 | Multi-Label ECG Classification Using Convolutional Neural Networks in a Classifier Chain | |
| Classifier Chain (6-lead) | -0.63 | Multi-Label ECG Classification Using Convolutional Neural Networks in a Classifier Chain |
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