Predicting Glaucoma Progression Requiring Surgery Using Clinical Free-Text Notes and Transfer Learning With Transformers

PURPOSE: We evaluated the use of massive transformer-based language models to predict glaucoma progression requiring surgery using ophthalmology clinical notes from electronic health records (EHRs). METHODS: Ophthalmology clinical notes for 4512 glaucoma patients at a single center from 2008 to 2020...

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Detalles Bibliográficos
Autores principales: Hu, Wendeng, Wang, Sophia Y.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Association for Research in Vision and Ophthalmology 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8976929/
https://www.ncbi.nlm.nih.gov/pubmed/35353148
http://dx.doi.org/10.1167/tvst.11.3.37

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8976929/
https://www.ncbi.nlm.nih.gov/pubmed/35353148
http://dx.doi.org/10.1167/tvst.11.3.37

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