Machine learning in predicting graft failure following kidney transplantation: A systematic review of published predictive models

Author:

Senanayake Sameera,White Nicole,Graves Nicholas,Healy Helen,Baboolal Keshwar,Kularatna Sanjeewa

Funder

ustralian Government Research Training Program

ueensland University of Technology International Postgraduate Research

Publisher

Elsevier BV

Subject

Health Informatics

Reference64 articles.

1. Chronic Kidney Disease (CKD) in US Adults With Self-reported Cardiovascular Disease (CVD)—A National Estimate of Prevalence by KDIGO 2012 Classification;Wang,2018

2. Hospital variation in renal replacement therapy for Sepsis in the United States;Valley;Crit. Care Med.,2018

3. Quality of life in adult survivors beyond 10 years after liver, kidney, and heart transplantation;Karam;Transplantation,2003

4. Why are nearly half of expanded criteria donor (ECD) kidneys not transplanted?;Cecka;Am. J. Transplant.,2008

5. Annual dialysis data report 2015, JSDT renal data registry;Masakane;Ren. Replace. Ther.,2018

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