Multiview Clustering to Identify Novel Kidney Donor Phenotypes for Assessing Graft Survival in Older Transplant Recipients

KEY POINTS: An unsupervised machine learning clustering algorithm identified distinct deceased kidney donor phenotypes among older recipients. Recipients of certain donor phenotypes were at a relatively higher risk of all-cause graft loss even after accounting for recipient factors. The use of unsup...

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Detalles Bibliográficos
Autores principales: Raza Abidi, Syed Sibte, Naqvi, Asil, Worthen, George, Vinson, Amanda, Abidi, Samina, Kiberd, Bryce, Skinner, Thomas, West, Kenneth, Tennankore, Karthik K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society of Nephrology 2023
Materias:
Original Investigation
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10371275/
https://www.ncbi.nlm.nih.gov/pubmed/37291713
http://dx.doi.org/10.34067/KID.0000000000000190

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10371275/
https://www.ncbi.nlm.nih.gov/pubmed/37291713
http://dx.doi.org/10.34067/KID.0000000000000190

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