Extended Data Fig. 4: Model explainability with GRAD-CAM.
From: Prediction of mortality from 12-lead electrocardiogram voltage data using a deep neural network
The guided gradient class activation maps (guided Grad-CAM) overlaid on signal-averaged waveforms for three patients (bottom 3 rows) as well as mean signal and activation across patients (top row) for leads V2 and V3. Clinical ECG findings for all three patients reported anterior acute myocardial infarction with apparent ST segment elevations. Note that these patients were predicted high risk by the model, and all died within a year after this ECG (that is, they were considered ‘true positives’). The overlay of the saliency map from guided Grad-CAM highlights the regions deemed salient (darker red regions) by the model towards prediction of high likelihood of mortality in a year, which coincided with the ST segment.
