Skip to main content

Table 5 Results of different subtypes

From: Estimating critical values from electrocardiogram using a deep ordinal convolutional neural network

Subtype

MAE

\(AUC_0\)

\(AUC_1\)

\(AUC_2\)

\(AUC_3\)

AUC

Full

0.4934

0.9289

0.8421

0.8330

0.8894

0.8735

Male

0.4686

0.9304

0.8549

0.8254

0.9001

0.8777

Female

0.5197

0.9222

0.8298

0.8381

0.8754

0.8676

Age < 65

0.3882

0.8971

0.8725

0.8132

0.8975

0.8701

Age \(\ge\) 65

0.6108

0.9324

0.7974

0.8214

0.8634

0.8537