Assessing the external validity of machine learning-based detection of glaucoma

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. W...

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Detalles Bibliográficos
Autores principales: Li, Chi, Chua, Jacqueline, Schwarzhans, Florian, Husain, Rahat, Girard, Michaël J. A., Majithia, Shivani, Tham, Yih-Chung, Cheng, Ching-Yu, Aung, Tin, Fischer, Georg, Vass, Clemens, Bujor, Inna, Kwoh, Chee Keong, Popa-Cherecheanu, Alina, Schmetterer, Leopold, Wong, Damon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9834286/
https://www.ncbi.nlm.nih.gov/pubmed/36631567
http://dx.doi.org/10.1038/s41598-023-27783-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9834286/
https://www.ncbi.nlm.nih.gov/pubmed/36631567
http://dx.doi.org/10.1038/s41598-023-27783-1

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