Fig. 3From: Learning to predict in-hospital mortality risk in the intensive care unit with attention-based temporal convolution networkThe ROC curves of different AI methods and the typical visualization of attention weight. A The ROC curves for predicting ICU patients’ in-hospital mortality 48 h after admission based on different AI methods. B The typical heatmap for attention weight of variables and time points for the non-survival patient. C The typical heatmap for attention weight of variables and time points for the surviving patient. AI, artificial intelligence; TCN, temporal convolution network; DT, Decision Tree; LR, Logistic Regression; RF, Random Forest; SVM, Support Vector Machine; TCN, temporal convolution networkBack to article page