Table 2.

Performance indicators for next-day discharge prediction models

Model	Accuracy	Recall	Specificity	PPV	NPV
LGBM-N-INT	0.877 (0.872–0.883)	0.778 (0.769–0.786)	0.901 (0.893–0.909)	0.654 (0.639–0.669)	0.944 (0.942–0.946)
LGBM-B-INT	0.868 (0.865–0.872)	0.778 (0.771–0.785)	0.890 (0.884–0.895)	0.628 (0.612–0.644)	0.944 (0.942–0.945)
RNN-BASED	0.868 (0.860–0.875)	0.763 (0.751–0.776)	0.893 (0.881–0.905)	0.637 (0.614–0.661)	0.940 (0.938–0.943)
LGBM-ONLY-INT	0.855 (0.847–0.864)	0.750 (0.737–0.763)	0.880 (0.868–0.893)	0.604 (0.563–0.646)	0.936 (0.934–0.939)
LGBM-C-INT	0.820 (0.812–0.828)	0.744 (0.734–0.753)	0.838 (0.827–0.849)	0.525 (0.490–0.561)	0.932 (0.930–0.934)
LGBM-NO-INT	0.805 (0.798–0.812)	0.727 (0.717–0.737)	0.823 (0.813–0.833)	0.498 (0.468–0.527)	0.926 (0.924–0.929)

Notes: The models are sorted by AUROC. $x$ (a, b) represents mean value and 95% confidence interval. The highest score for each metric is in bold.

AUROC: area under the receiver operating characteristics; LGBM: light gradient boosting machine; NPV: negative predictive value; PPV: positive predictive value.