Table 4.

Classification performance measures of the GRU model with a 48-h observation window (T${}_O$ = 48).

Variables	Dataset	Classification Metrics (Mean ± Standard Deviation)
		AUC	Accuracy	Sensitivity	Specificity	PPV	NPV	F${}_1$ Score
Vital signs	MIMIC-III	0.85 ± 0.01	0.78 ± 0.01	0.63 ± 0.03	0.91 ± 0.01	0.88 ± 0.02	0.71 ± 0.01	0.74 ± 0.01
	MIMIC-IV	0.87 ± 0.01	0.81 ± 0.01	0.71 ± 0.04	0.90 ± 0.03	0.88 ± 0.03	0.76 ± 0.02	0.79 ± 0.02
	eICU	0.89 ± 0.02	0.82 ± 0.01	0.78 ± 0.03	0.86 ± 0.03	0.84 ± 0.02	0.81 ± 0.01	0.82 ± 0.01
Laboratory variables	MIMIC-III	0.69 ± 0.02	0.64 ± 0.01	0.56 ± 0.06	0.71 ± 0.07	0.66 ± 0.04	0.62 ± 0.01	0.60 ± 0.02
	MIMIC-IV	0.66 ± 0.01	0.63 ± 0.01	0.52 ± 0.04	0.74 ± 0.02	0.66 ± 0.01	0.61 ± 0.01	0.58 ± 0.02
	eICU	0.61 ± 0.03	0.56 ± 0.01	0.42 ± 0.11	0.70 ± 0.12	0.60 ± 0.03	0.57 ± 0.01	0.52 ± 0.04
All variables	MIMIC-III	0.87 ± 0.01	0.80 ± 0.01	0.70 ± 0.04	0.90 ± 0.05	0.88 ± 0.05	0.75 ± 0.02	0.78 ± 0.01
	MIMIC-IV	0.88 ± 0.01	0.82 ± 0.01	0.72 ± 0.02	0.92 ± 0.01	0.90 ± 0.01	0.76 ± 0.01	0.80 ± 0.01
	eICU	0.91 ± 0.01	0.83 ± 0.01	0.81 ± 0.03	0.86 ± 0.03	0.85 ± 0.03	0.82 ± 0.02	0.83 ± 0.01