Table 3 Performance of the discriminating rules generated using logistic regression and neural network classifiers for differentiating sub KC and KC corneas from normal corneas
| Â | Normal vs. Sub KC | Normal vs. KC | ||||
|---|---|---|---|---|---|---|
| Â | Sensitivity | 1-Specificity | AUC | Sensitivity | 1-Specificity | AUC |
Logistic Regression | Â | Â | Â | Â | Â | Â |
Pentacam HR system | 83.8% | 88.7% | 0.74 | 100% | 100% | 1.00 |
UHR-OCT | 95.3% | 94.5% | 0.90 | 98.0% | 100% | 0.98 |
Pentacam HR system & UHR-OCT | 95.1% | 94.8% | 0.90 | 100% | 99.4% | 0.99 |
Neural Network | Â | Â | Â | Â | Â | Â |
Pentacam HR system | 82.1% | 82.6% | 0.68 | 100% | 100% | 1.00 |
UHR-OCT | 94.8% | 93.4% | 0.88 | 99.5% | 99% | 0.98 |
Pentacam HR system & UHR-OCT | 98.5% | 94.7% | 0.93 | 100% | 100% | 1.00 |