Usefulness of Machine Learning for Identification of Referable Diabetic Retinopathy in a Large-Scale Population-Based Study

Purpose: To development and validation of machine learning-based classifiers based on simple non-ocular metrics for detecting referable diabetic retinopathy (RDR) in a large-scale Chinese population–based survey. Methods: The 1,418 patients with diabetes mellitus from 8,952 rural residents screened...

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Detalles Bibliográficos
Autores principales: Yang, Cheng, Liu, Qingyang, Guo, Haike, Zhang, Min, Zhang, Lixin, Zhang, Guanrong, Zeng, Jin, Huang, Zhongning, Meng, Qianli, Cui, Ying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8717406/
https://www.ncbi.nlm.nih.gov/pubmed/34977075
http://dx.doi.org/10.3389/fmed.2021.773881

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8717406/
https://www.ncbi.nlm.nih.gov/pubmed/34977075
http://dx.doi.org/10.3389/fmed.2021.773881

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