Research Article
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%) |
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