Clinical Phenotypes of Dual Kidney Transplant Recipients in the United States as Identified through Machine Learning Consensus Clustering

Clinical Phenotypes of Dual Kidney Transplant Recipients in the United States as Identified through Machine Learning Consensus Clustering

<i>Background and Objectives</i>: Our study aimed to cluster dual kidney transplant recipients using an unsupervised machine learning approach to characterize donors and recipients better and to compare the survival outcomes across these various clusters. <i>Materials and Methods&l...

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Bibliographic Details
Main Authors: Supawit Tangpanithandee, Charat Thongprayoon, Caroline C. Jadlowiec, Shennen A. Mao, Michael A. Mao, Pradeep Vaitla, Napat Leeaphorn, Wisit Kaewput, Pattharawin Pattharanitima, Pajaree Krisanapan, Pitchaphon Nissaisorakarn, Matthew Cooper, Wisit Cheungpasitporn
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Medicina
Subjects:
dual kidney transplant
dual kidney transplant recipients
transplant
transplantation
kidney transplantation
clustering
Online Access:https://www.mdpi.com/1648-9144/58/12/1831

Internet

https://www.mdpi.com/1648-9144/58/12/1831

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