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. Author manuscript; available in PMC: 2024 Mar 27.
Published before final editing as: Clin Exp Ophthalmol. 2022 Sep 27:10.1111/ceo.14175. doi: 10.1111/ceo.14175

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.