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. 2022 Mar 24;13:1583. doi: 10.1038/s41467-022-29153-3

Table 3.

Performance of image model on real-world electrocardiogram (ECG) image datasets.

Real world dataset Label Accuracy PPV NPV Specificity Sensitivity AUROC F1 AUPRC
LRH Male 0.719 0.667 0.842 0.516 0.909 0.778 0.769 0.784
1dAVb 0.953 0.833 0.981 0.962 0.909 0.981 0.870 0.902
RBBB 1.000 1.000 1.000 1.000 1.000 1.000 1.000 1.000
LBBB 0.984 1.000 0.981 1.000 0.909 0.983 0.952 0.957
SB 0.938 0.875 0.946 0.981 0.700 0.965 0.778 0.861
AF 0.969 0.867 1.000 0.961 1.000 0.988 0.929 0.945
ST 0.969 0.900 0.981 0.981 0.900 0.987 0.900 0.938
Weighted mean 0.969 0.912 0.983 0.980 0.909 0.984 0.908 0.935
Web-based 1dAVb 0.884 0.625 0.943 0.917 0.714 0.810 0.667 0.679
RBBB 0.930 0.700 1.000 0.917 1.000 0.944 0.824 0.693
LBBB 0.930 0.833 0.946 0.972 0.714 0.897 0.769 0.763
SB 0.977 0.875 1.000 0.972 1.000 0.992 0.933 0.962
AF 0.977 0.875 1.000 0.972 1.000 0.988 0.933 0.938
ST 0.953 0.778 1.000 0.944 1.000 0.960 0.875 0.761
Weighted mean 0.942 0.781 0.981 0.949 0.905 0.932 0.833 0.799

1dAVB 1st degree AV block, AF atrial fibrillation, AUPRC area under precision recall curve, AUROC area under receiver operator characteristic curve, LBBB left bundle branch block, NPV negative predictive value. PPV positive predictive value, RBBB right bundle branch block, SB sinus bradycardia, ST sinus tachycardia.