Figure 2.

Performance comparisons of electrocardiography (ECG) morphologies and deep learning models trained using 3 different weighting strategies in the validation cohort. The receiver operating characteristic curves were made by the predictions of the deep learning model (DLM) or each ECG morphology. The ECG morphology curves were generated from logistic regression using the development cohort. The DLM score 1 was trained using the raw data set; score 2 was trained using an age-matched strategy; and score 3 was trained using an age- and K⁺-matched strategy.