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

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 transplant,...

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Detalles Bibliográficos
Autores principales: Senanayake, Sameera, Kularatna, Sanjeewa, Healy, Helen, Graves, Nicholas, Baboolal, Keshwar, Sypek, Matthew P., Barnett, Adrian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8215818/
https://www.ncbi.nlm.nih.gov/pubmed/34154541
http://dx.doi.org/10.1186/s12874-021-01319-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8215818/
https://www.ncbi.nlm.nih.gov/pubmed/34154541
http://dx.doi.org/10.1186/s12874-021-01319-5

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