Distinct Phenotypes of Kidney Transplant Recipients in the United States with Limited Functional Status as Identified through Machine Learning Consensus Clustering

Distinct Phenotypes of Kidney Transplant Recipients in the United States with Limited Functional Status as Identified through Machine Learning Consensus Clustering

Background: There have been concerns regarding increased perioperative mortality, length of hospital stay, and rates of graft loss in kidney transplant recipients with functional limitations. The application of machine learning consensus clustering approach may provide a novel understanding of uniqu...

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Bibliographic Details
Main Authors: Charat Thongprayoon, Caroline C. Jadlowiec, Wisit Kaewput, Pradeep Vaitla, Shennen A. Mao, Michael A. Mao, Napat Leeaphorn, Fawad Qureshi, Pattharawin Pattharanitima, Fahad Qureshi, Prakrati C. Acharya, Pitchaphon Nissaisorakarn, Matthew Cooper, Wisit Cheungpasitporn
Format: Article
Language:English
Published: MDPI AG 2022-05-01
Series:Journal of Personalized Medicine
Subjects:
functional status
disability
disabled
kidney transplant
transplantation
clustering
Online Access:https://www.mdpi.com/2075-4426/12/6/859

Internet

https://www.mdpi.com/2075-4426/12/6/859

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