Table 3.
Performance of the Long-Short Term Memory (LSTM) Model and the discrete time Logistic Regression (LR) model in Predicting Transfusion of Packed Red Blood Cells by Comparison of Area Under the Receiver Operating Curve (AUROC) for Internal Validation (N = 492) and External Validation (N = 1526).
Long-short term memory network model AUROC 95% CI | Logistic Regression AUROC 95% CI | p-value | Regularized logistic regression with elastic net AUROC 95% CI | p-value | |
---|---|---|---|---|---|
Internal Validation | 0.81 (0.80–0.83) | 0.75 (0.73–0.77) | < 0.001 | 0.75 (0.73–0.78) | < 0.001 |
External Validation | 0.65 (0.61–0.69) | 0.56 (0.51–0.60) | < 0.001 | 0.56 (0.52–0.61) | < 0.001 |