Table 3.
Machine learning algorithm compared with other published methods
| Author | Method | Cut point | AUC | Sensitivity | Specificity | Youden Index |
|---|---|---|---|---|---|---|
| Tandon [20] | Luminance segmentation method | 110 lx | 0.82 | 74% | 86% | 0.60 |
| Tandon [20] | GPS segmentation method | 250 SNRa | 0.89 | 82% | 88% | 0.70 |
| Flynn [21] | Luminance segmentation method | 240 lx | 0.96 | 92% | 90% | 0.82 |
| Dharani [19] | Luminance segmentation method | 1000 lx | – | – | – | – |
| In our study | SVM Machine learning algorithm | – | 0.99 | 99% | 99% | 0.99 |
aSignal-to-noise ratio (SNR); Area under the ROC curve (AUC)