A Machine Learning Approach Using Survival Statistics to Predict Graft Survival in Kidney Transplant Recipients: A Multicenter Cohort Study
Author:
Publisher
Springer Science and Business Media LLC
Subject
Multidisciplinary
Link
http://www.nature.com/articles/s41598-017-08008-8.pdf
Reference49 articles.
1. Pauly, R. P. Survival comparison between intensive hemodialysis and transplantation in the context of the existing literature surrounding nocturnal and short-daily hemodialysis. Nephrol. Dial Transplant. 28, 44–47 (2013).
2. Purnell, T. S. et al. Comparison of life participation activities among adults treated by hemodialysis, peritoneal dialysis, and kidney transplantation: a systematic review. Am. J. Kidney Dis. 62, 953–973 (2013).
3. Yoo, K. D. et al. Superior outcomes of kidney transplantation compared with dialysis: An optimal matched analysis of a national population-based cohort study between 2005 and 2008 in Korea. Medicine (Baltimore). 95, e4352 (2016).
4. Nankivell, B. J. & Kuypers, D. R. J. Diagnosis and prevention of chronic kidney allograft loss. Lancet. 378, 1228–1237 (2011).
5. Cios, K. J. & Moore, W. G. Uniqueness of medical data mining. AIM. 26, 1–24 (2002).
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