Risk Stratification with Extreme Learning Machine: A Retrospective Study on Emergency Department Patients

Table 3

Prediction results using SV-ELM with different initial ensemble size.

Ensemble size	AUC (95% CI)	Cutoff	Sensitivity (95% CI)	Specificity (95% CI)	PPV (95% CI)	NPV (95% CI)
15	0.749 (0.671–0.827)	64	78.8% (67.7%–89.9%)	63.8% (60.8%–66.8%)	10.4% (7.4%–13.5%)	98.3% (97.3%–99.3%)
15 + 5	0.753 (0.675–0.831)	64	78.8% (67.7%–89.9%)	64.5% (61.5%–67.5%)	10.6% (7.5%–13.7%)	98.3% (97.3%–99.3%)
15 + 10	0.754 (0.676–0.832)	64	78.8% (67.7%–89.9%)	64.7% (61.7%–67.8%)	10.7% (7.6%–13.8%)	98.3% (97.3%–99.3%)
15 + 15	0.746 (0.667–0.824)	64	76.9% (65.5%–88.4%)	64.9% (61.9%–67.9%)	10.5% (7.4%–13.5%)	98.1% (97.1%–99.2%)
15 + 20	0.746 (0.667–0.824)	64	76.9% (65.5%–88.4%)	64.5% (61.5%–67.5%)	10.4% (7.3%–13.4%)	98.1% (97.1%–99.2%)
15 + 25	0.735 (0.656–0.814)	64	75.0% (63.2%–86.8%)	64.7% (61.7%–67.8%)	10.2% (7.2%–13.2%)	98.0% (96.9%–99.1%)