Comparison and development of machine learning tools in the prediction of chronic kidney disease progression
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Biochemistry, Genetics and Molecular Biology,General Medicine
Link
http://link.springer.com/content/pdf/10.1186/s12967-019-1860-0.pdf
Reference47 articles.
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3. Taal M, Brenner B. Renal risk scores: progress and prospects. Kidney Int. 2008;73:1216–9.
4. Tangri N, Stevens LA, Griffith J, Tighiouart H, Djurdjev O, Naimark D, Levin A, Levey AS. A predictive model for progression of chronic kidney disease to kidney failure. JAMA. 2011;305:1553–9.
5. Oliver MJ, Quinn RR, Garg AX, Kim SJ, Wald R, Paterson JM. Likelihood of starting dialysis after incident fistula creation. Clin J Am Soc Nephrol. 2012;7:466–71.
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