Table 3.

Support Vector Regression Performance in Predicting Nocturnal Hypoglycemia on the Validation Data Sets Using $g_{th}=5.4$ mmol/L

Performance metric	Value
	Clinical data	Simulated data
	n = 117 nights	n = 2706 nights
Area under the ROC curve for nocturnal hypoglycemia prediction
AUC	0.86 (95% CI, 0.75–0.98)	0.89 (95% CI, 0.86–0.91)
Nocturnal low-glucose excursion prediction (classification threshold = 3.89 mmol/L)
Sensitivity, %	94.1 (95% CI, 71.3–99.9)	88.9 (95% CI, 77.4–87.0)
Specificity, %	72.0 (95% CI, 62.1–80.5)	60.0 (95% CI, 57.8–61.8)
Correct level 2 nocturnal hypoglycemia detection rate, %	100.0	88.0
Overtreated cases (actual minimum glucose ≥5.4 mmol/L), %	8.5	14.8
Minimum nocturnal glucose concentration (regression)
Pearson correlation	R = 0.71, P < 0.001	R = 0.86, P < 0.001
RMSE, mmol/L	1.95	1.68

AUC, area under the receiver operating characteristic (ROC) curve; CI, confidence interval; ROC, receiver operating characteristic; RMSE, root mean squared error.