Table 2 Prediction accuracy of each task made at different time points
From: Scalable and accurate deep learning with electronic health records
Hospital A | Hospital B | |
---|---|---|
Inpatient mortality, AUROC a (95% CI) | ||
24 h before admission | 0.87 (0.85–0.89) | 0.81 (0.79–0.83) |
At admission | 0.90 (0.88–0.92) | 0.90 (0.86–0.91) |
24 h after admission | 0.95 (0.94–0.96) | 0.93 (0.92–0.94) |
Baseline (aEWSb) at 24 h after admission | 0.85 (0.81–0.89) | 0.86 (0.83–0.88) |
30-day readmission, AUROC (95% CI) | ||
At admission | 0.73 (0.71–0.74) | 0.72 (0.71–0.73) |
At 24 h after admission | 0.74 (0.72–0.75) | 0.73 (0.72–0.74) |
At discharge | 0.77 (0.75–0.78) | 0.76 (0.75–0.77) |
Baseline (mHOSPITALc) at discharge | 0.70 (0.68–0.72) | 0.68 (0.67–0.69) |
Length of stay at least 7 days, AUROC (95% CI) | ||
At admission | 0.81 (0.80–0.82) | 0.80 (0.80–0.81) |
At 24 h after admission | 0.86 (0.86–0.87) | 0.85 (0.85–0.86) |
Baseline (Liud) at 24 h after admission | 0.76 (0.75–0.77) | 0.74 (0.73–0.75) |
Discharge diagnoses (weighted AUROC) | ||
At admission | 0.87 | 0.86 |
At 24 h after admission | 0.89 | 0.88 |
At discharge | 0.90 | 0.90 |