Development and validation of a risk index to predict kidney graft survival: the kidney transplant risk index

Development and validation of a risk index to predict kidney graft survival: the kidney transplant risk index

Abstract Background Kidney graft failure risk prediction models assist evidence-based medical decision-making in clinical practice. Our objective was to develop and validate statistical and machine learning predictive models to predict death-censored graft failure following deceased donor kidney tra...

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Bibliographic Details
Main Authors: Sameera Senanayake, Sanjeewa Kularatna, Helen Healy, Nicholas Graves, Keshwar Baboolal, Matthew P. Sypek, Adrian Barnett
Format: Article
Language:English
Published: BMC 2021-06-01
Series:BMC Medical Research Methodology
Subjects:
Risk prediction
Machine learning
Graft failure
Kidney transplant
Online Access:https://doi.org/10.1186/s12874-021-01319-5

Internet

https://doi.org/10.1186/s12874-021-01319-5

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