Table 3:
Accuracies of Machine Learning Classification Criteria on Validation Set and of Masked Examiner Using Final Rules on 10% Random Sample of Cases†
| Uveitis Anatomic Class | Number Diseases | Validation Set Machine Learning Classification Criteria | Masked Examiner Evaluation of Final Rules on 10% Random Sample | ||
|---|---|---|---|---|---|
| Accuracy | 95% CI | Accuracy | 95% CI | ||
| Anterior uveitides | 9 | 96.7 | 92.4, 98.6 | 96.5 | 91.4, 98.6 |
| Intermediate uveitides | 5 | 99.3 | 96.1, 99.9 | 98.4 | 91.5, 99.7 |
| Posterior uveitides | 9 | 98.0 | 94.3, 99.3 | 99.2 | 95.4, 99.9 |
| Panuveitides | 7 | 94.0 | 89.0, 96.8 | 98.9 | 94.3, 99.8 |
| Infectious posterior or panuveitides | 5 | 93.3 | 89.1, 96.3 | 98.8 | 93.4, 99.9 |
Adapted from Standardization of Uveitis Nomenclature (SUN) Working Group. Development of classification criteria for the uveitides. Am J Ophthalmol 2021;228:96–116. Used with permission.