Identify diabetic retinopathy-related clinical concepts and their attributes using transformer-based natural language processing methods

BACKGROUND: Diabetic retinopathy (DR) is a leading cause of blindness in American adults. If detected, DR can be treated to prevent further damage causing blindness. There is an increasing interest in developing artificial intelligence (AI) technologies to help detect DR using electronic health reco...

Descripción completa

Detalles Bibliográficos
Autores principales: Yu, Zehao, Yang, Xi, Sweeting, Gianna L., Ma, Yinghan, Stolte, Skylar E., Fang, Ruogu, Wu, Yonghui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9513862/
https://www.ncbi.nlm.nih.gov/pubmed/36167551
http://dx.doi.org/10.1186/s12911-022-01996-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9513862/
https://www.ncbi.nlm.nih.gov/pubmed/36167551
http://dx.doi.org/10.1186/s12911-022-01996-2

Ejemplares similares