Ecg Classification On Electrocardiography Ecg
Metriken
F1 (1dAVb)
F1 (AF)
F1 (LBBB)
F1 (RBBB)
F1 (SB)
F1 (ST)
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Modellname | F1 (1dAVb) | F1 (AF) | F1 (LBBB) | F1 (RBBB) | F1 (SB) | F1 (ST) | Paper Title | Repository |
|---|---|---|---|---|---|---|---|---|
| 5th year medical student | 0.732 | 0.706 | 0.915 | 0.928 | 0.750 | 0.857 | Automatic diagnosis of the 12-lead ECG using a deep neural network | |
| DNN | 0.893 | 0.857 | 0.984 | 0.932 | 0.882 | 0.933 | Automatic diagnosis of the 12-lead ECG using a deep neural network | |
| 4th year cardiology resident | 0.776 | 0.769 | 0.947 | 0.917 | 0.882 | 0.896 | Automatic diagnosis of the 12-lead ECG using a deep neural network | |
| 3rd year emergency resident | 0.719 | 0.696 | 0.912 | 0.852 | 0.848 | 0.932 | Automatic diagnosis of the 12-lead ECG using a deep neural network |
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