Machine Learning Consensus Clustering of Morbidly Obese Kidney Transplant Recipients in the United States

Machine Learning Consensus Clustering of Morbidly Obese Kidney Transplant Recipients in the United States

Background: This study aimed to better characterize morbidly obese kidney transplant recipients, their clinical characteristics, and outcomes by using an unsupervised machine learning approach. Methods: Consensus cluster analysis was applied to OPTN/UNOS data from 2010 to 2019 based on recipient, do...

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Bibliographic Details
Main Authors: Charat Thongprayoon, Shennen A. Mao, Caroline C. Jadlowiec, Michael A. Mao, Napat Leeaphorn, Wisit Kaewput, Pradeep Vaitla, Pattharawin Pattharanitima, Supawit Tangpanithandee, Pajaree Krisanapan, Fawad Qureshi, Pitchaphon Nissaisorakarn, Matthew Cooper, Wisit Cheungpasitporn
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Journal of Clinical Medicine
Subjects:
obesity
body mass index
kidney transplant
transplantation
Online Access:https://www.mdpi.com/2077-0383/11/12/3288

Internet

https://www.mdpi.com/2077-0383/11/12/3288

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