A Classification Tree Model with Optical Coherence Tomography Angiography Variables to Screen Early-Stage Diabetic Retinopathy in Diabetic Patients

AIM: To establish a classification tree model in DR screening and to compare the DR screening accuracy between the classification tree model and the logistic regression model in type 2 diabetes mellitus (T2DM) patients based on OCTA variables. METHODS: Two hundred forty-one eyes of 241 T2DM patients...

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Detalles Bibliográficos
Autores principales: Yao, Hongyan, Wu, Shanjun, Zhan, Zongyi, Li, Zijing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8863461/
https://www.ncbi.nlm.nih.gov/pubmed/35211344
http://dx.doi.org/10.1155/2022/9681034

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8863461/
https://www.ncbi.nlm.nih.gov/pubmed/35211344
http://dx.doi.org/10.1155/2022/9681034

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