Fig. 6: GradCAM heatmap for 1-year mortality. | npj Digital Medicine

Fig. 6: GradCAM heatmap for 1-year mortality.

From: Towards artificial intelligence-based learning health system for population-level mortality prediction using electrocardiograms

Fig. 6

Representative ECG traces were chosen with primary diagnoses of AF, HF, STEMI, and NSTEMI. The darker areas in each trace on GradCAM denote the areas with the most contribution to ResNet DL: ECG model’s 1-year mortality prediction. The highlighted regions are not lead-specific, and are driven based on data from all 12 leads. AF atrial fibrillation, DL deep learning, ECG electrocardiogram, HF heart failure, STEMI ST-elevation myocardial infarction, NSTEMI Non-ST-elevation myocardial infarction.

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