To demonstrate the capability of DNN in identifying novel relevant features, we first developed a baseline logistic regression model, only based on the established ECG features of PLN mutation carriers. The matching variables, age and sex, and the established PLN-specific ECG features (low QRS voltage and right [V2–V3] and left [V4–V6] precordial T-wave inversion) were included as predictors in the model.17 The model was trained on the training data set and evaluated on the test set.

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