A multimodal approach to cardiovascular risk stratification in patients with type 2 diabetes incorporating retinal, genomic and clinical features
Author:
Funder
RCUK | Engineering and Physical Sciences Research Council
RCUK | Medical Research Council
Publisher
Springer Science and Business Media LLC
Subject
Multidisciplinary
Link
http://www.nature.com/articles/s41598-019-40403-1.pdf
Reference30 articles.
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2. Wong, T. Y. et al. Quantitative retinal venular caliber and risk of cardiovascular disease in older persons: the cardiovascular health study. Arch. Intern. Med. 166, 2388–94 (2006).
3. McGeechan, K. et al. Meta-analysis: retinal vessel caliber and risk for coronary heart disease. Ann. Intern. Med. 151, 404–413 (2009).
4. Poplin, R. et al. Prediction of cardiovascular risk factors from retinal fundus photographs via deep learning. Nat. Biomed. Eng. 2, 158–164 (2018).
5. Sudlow, C. et al. UK Biobank: An open access resource for identifying the causes of a wide range of complex disease of middle and old age. PLOS Medicine. 12(3) (2015).
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