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Table 2 Model performances on Leuven data

From: A deep learning approach identifies new ECG features in congenital long QT syndrome

Training Type External validation (Leuven data)
Sensitivity ± SD Specificity ± SD AUC ± SD
First ECG approach (Amsterdam data) LQTS1 80 ± 2% 94 ± 2% 0.86 ± 0.01
LQTS2 92 ± 3% 81 ± 6% 0.87 ± 0.02
All ECG approach (Amsterdam data) LQTS1 87 ± 4% 93 ± 3% 0.90 ± 0.01
LQTS2 90 ± 4% 88 ± 3% 0.89 ± 0.01
  1. The whole set of LQTS1 (n = 32), LQTS2 (n = 80), and controls (n = 2280) from the Leuven dataset was used to validate our DL models, which were trained on the Amsterdam data using the only the first acquired 12-lead ECGs (i.e., First ECG approach) (top) or all acquired 12-lead ECGs (i.e., ALL ECG approach) (bottom). The mean and standard deviation (SD) of the collected metrics is reported