Ontology highlight
ABSTRACT:
SUBMITTER: Li C
PROVIDER: S-EPMC9834286 | biostudies-literature | 2023 Jan
REPOSITORIES: biostudies-literature
Li Chi C Chua Jacqueline J Schwarzhans Florian F Husain Rahat R Girard Michaël J A MJA Majithia Shivani S Tham Yih-Chung YC Cheng Ching-Yu CY Aung Tin T Fischer Georg G Vass Clemens C Bujor Inna I Kwoh Chee Keong CK Popa-Cherecheanu Alina A Schmetterer Leopold L Wong Damon D
Scientific reports 20230111 1
Studies using machine learning (ML) approaches have reported high diagnostic accuracies for glaucoma detection. However, none assessed model performance across ethnicities. The aim of the study is to externally validate ML models for glaucoma detection from optical coherence tomography (OCT) data. We performed a prospective, cross-sectional study, where 514 Asians (257 glaucoma/257 controls) were enrolled to construct ML models for glaucoma detection, which was then tested on 356 Asians (183 gla ...[more]