From: A deep learning model for real-time mortality prediction in critically ill children
 | Development cohort | Validation cohort | ||||||
---|---|---|---|---|---|---|---|---|
Lead time window | AUROC | 95% CI | AUPRC | 95% CI | AUROC | 95% CI | AUPRC | 95% CI |
PROMPT | ||||||||
 6 h | 0.965 | ± 0.006 | 0.831 | ± 0.018 | 0.922 | ± 0.004 | 0.716 | ± 0.016 |
 12 h | 0.948 | ± 0.009 | 0.745 | ± 0.029 | 0.945 | ± 0.004 | 0.701 | ± 0.023 |
 24 h | 0.933 | ± 0.009 | 0.733 | ± 0.027 | 0.946 | ± 0.005 | 0.605 | ± 0.024 |
 48 h | 0.899 | ± 0.013 | 0.570 | ± 0.041 | 0.849 | ± 0.007 | 0.360 | ± 0.023 |
 60 h | 0.887 | ± 0.018 | 0.565 | ± 0.052 | 0.881 | ± 0.011 | 0.445 | ± 0.031 |
GBDT | ||||||||
 6 h | 0.944 | ± 0.008 | 0.767 | ± 0.022 | 0.877 | ± 0.005 | 0.499 | ± 0.032 |
 12 h | 0.927 | ± 0.008 | 0.684 | ± 0.028 | 0.915 | ± 0.005 | 0.605 | ± 0.022 |
 24 h | 0.908 | ± 0.014 | 0.612 | ± 0.032 | 0.897 | ± 0.007 | 0.442 | ± 0.021 |
 48 h | 0.853 | ± 0.014 | 0.452 | ± 0.031 | 0.805 | ± 0.009 | 0.342 | ± 0.025 |
 60 h | 0.831 | ± 0.022 | 0.419 | ± 0.051 | 0.790 | ± 0.012 | 0.403 | ± 0.035 |
LSTM | ||||||||
 6 h | 0.945 | ± 0.010 | 0.808 | ± 0.019 | 0.875 | ± 0.006 | 0.547 | ± 0.039 |
 12 h | 0.915 | ± 0.016 | 0.703 | ± 0.031 | 0.870 | ± 0.012 | 0.520 | ± 0.034 |
 24 h | 0.889 | ± 0.013 | 0.644 | ± 0.032 | 0.837 | ± 0.012 | 0.348 | ± 0.032 |
 48 h | 0.844 | ± 0.014 | 0.530 | ± 0.029 | 0.770 | ± 0.013 | 0.348 | ± 0.027 |
 60 h | 0.814 | ± 0.025 | 0.429 | ± 0.050 | 0.759 | ± 0.019 | 0.353 | ± 0.034 |
PIM 3 | ||||||||
 Total | 0.767 | – | 0.509 | – | 0.881 | – | 0.500 | – |
 Subset 1* | 0.787 | – | 0.315 | – | 0.876 | – | 0.462 | – |
 Subset 2** | 0.785 | – | 0.298 | – | 0.876 | – | 0.462 | – |