Personalized Prediction of Kidney Function Decline and Network Analysis of the Risk Factors after Kidney Transplantation Using Nationwide Cohort Data

Personalized Prediction of Kidney Function Decline and Network Analysis of the Risk Factors after Kidney Transplantation Using Nationwide Cohort Data

We developed a machine-learning-based model that could predict a decrease in one-year graft function after kidney transplantation, and investigated the risk factors of the decreased function. A total of 4317 cases were included from the Korean Organ Transplant Registry (2014–2019). An XGBoost model...

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Bibliographic Details
Main Authors: Moongi Simon Hong, Yu-Ho Lee, Jin-Min Kong, Oh-Jung Kwon, Cheol-Woong Jung, Jaeseok Yang, Myoung-Soo Kim, Hyun-Wook Han, Sang-Min Nam, Korean Organ Transplantation Registry Study Group
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:Journal of Clinical Medicine
Subjects:
kidney transplantation
machine learning
risk factors
graft survival
Online Access:https://www.mdpi.com/2077-0383/11/5/1259

Internet

https://www.mdpi.com/2077-0383/11/5/1259

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