Artificial intelligence predicts the progression of diabetic kidney disease using big data machine learning
Author:
Publisher
Springer Science and Business Media LLC
Subject
Multidisciplinary
Link
http://www.nature.com/articles/s41598-019-48263-5.pdf
Reference35 articles.
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2. Sarwar, N. et al. Diabetes mellitus, fasting blood glucose concentration, and risk of vascular disease: A collaborative meta-analysis of 102 prospective studies. Lancet 375, 2215–2222 (2010).
3. Thomas, M. C. et al. Diabetic kidney disease. Nat. Rev. Diseas Prim. 1, 1–20 (2015).
4. Gæde, P. et al. Years of life gained by multifactorial intervention in patients with type 2 diabetes mellitus and microalbuminuria: 21 years follow-up on the Steno-2 randomised trial. Diabetologia 59, 2298–2307 (2016).
5. Ninomiya, T. et al. Albuminuria and Kidney Function Independently Predict Cardiovascular and Renal Outcomes in Diabetes. J. Am. Soc. Nephrol. 20, 1813–1821 (2009).
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