Use of Machine Learning Consensus Clustering to Identify Distinct Subtypes of Kidney Transplant Recipients With DGF and Associated Outcomes

Data and transplant community opinion on delayed graft function (DGF), and its impact on outcomes, remains varied. An unsupervised machine learning consensus clustering approach was applied to categorize the clinical phenotypes of kidney transplant (KT) recipients with DGF using OPTN/UNOS data. DGF...

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Detalles Bibliográficos
Autores principales: Jadlowiec, Caroline C., Thongprayoon, Charat, Leeaphorn, Napat, Kaewput, Wisit, Pattharanitima, Pattharawin, Cooper, Matthew, Cheungpasitporn, Wisit
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Health Archive
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9773391/
https://www.ncbi.nlm.nih.gov/pubmed/36568137
http://dx.doi.org/10.3389/ti.2022.10810

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9773391/
https://www.ncbi.nlm.nih.gov/pubmed/36568137
http://dx.doi.org/10.3389/ti.2022.10810

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