A deep learning nomogram of continuous glucose monitoring data for the risk prediction of diabetic retinopathy in type 2 diabetes-Reference-Cited by-同舟云学术

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A deep learning nomogram of continuous glucose monitoring data for the risk prediction of diabetic retinopathy in type 2 diabetes

Published:2023-04-11 Issue:2 Volume:46 Page:813-825
ISSN:2662-4729
Container-title:Physical and Engineering Sciences in Medicine
language:en
Short-container-title:Phys Eng Sci Med

Author:

Tao Rui,Yu Xia,Lu Jingyi,Wang Yaxin,Lu Wei,Zhang Zhanhu,Li Hongru,Zhou Jian^ORCID

Funder

China Youth Fund of National Natural Science Foundaion

National Natural Science Foundation of China

Shanghai Municipal Education Commission-Gaofeng Clinical Medicine Grant Support

Publisher

Springer Science and Business Media LLC

Subject

Radiology, Nuclear Medicine and imaging,Instrumentation,Biomedical Engineering,Biophysics,Radiological and Ultrasound Technology,Biotechnology

Link

https://link.springer.com/content/pdf/10.1007/s13246-023-01254-3.pdf

Reference46 articles.

1. Aiello L (1998) Diabetic retinopathy (technical review). Diabetes Care 21(1):143–156

2. Frederick L, Macular E (1984) A complication diabetic retinopathy. Survey of Ophthalmol 28:452–461. https://doi.org/10.1016/0039-6257(84)90227-3

3. Yau JWY, Rogers SL, Kawasaki R et al (2012) Global prevalence and major risk factors of diabetic retinopathy. Diabetes Care 35(3):556–564

4. Hendarto H, Pramono A, Saksono D et al (2016) The relationship of glycemic exposure (HbAlc) to the risk of subclinical hypothyroidism in type 2 diabetes mellitus patients. Diabetes Res Clin Pract 120(1):S204–S204

5. Mohamed Q, Gillies MC, Wong TY (2007) Management of diabetic retinopathy: a systematic review. JAMA 298(1):902–916

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. DDLA: a double deep latent autoencoder for diabetic retinopathy diagnose based on continuous glucose sensors;Medical & Biological Engineering & Computing;2024-05-22

2. Continuous glucose monitoring for the routine care of type 2 diabetes mellitus;Nature Reviews Endocrinology;2024-04-08

3. Using Generative AI to Improve the Performance and Interpretability of Rule-Based Diagnosis of Type 2 Diabetes Mellitus;Information;2024-03-12

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