Selecting measures of visual function to classify diabetic retinopathy status: a cross-sectional study.

ABSTRACT:

Aim

To identify combinations of up to three visual function tests with the best performance for classifying diabetic retinopathy (DR) severity stage. To describe in detail the measurements from a comprehensive set of visual function tests.

Methods

1901 eyes (1032 participants) underwent nine visual function tests. Fundus, ultra-widefield and optical coherence tomography images were graded for DR and diabetic macular oedema (DMO). Three classification tasks were set: (1) distinguishing diabetes mellitus (DM) no DR from healthy with no DM, (2) DR no DMO from DM no DR and (3) DR with DMO from DR no DMO. Ensemble machine learning models for all one-way, two-way and three-way combinations of visual function variables were compared using area under the curve (AUC).

Results

SUBMITTER: Wright DM 

PROVIDER: S-EPMC12820872 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature