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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Detalles Bibliográficos
Autores principales: Hong, Moongi Simon, Lee, Yu-Ho, Kong, Jin-Min, Kwon, Oh-Jung, Jung, Cheol-Woong, Yang, Jaeseok, Kim, Myoung-Soo, Han, Hyun-Wook, Nam, Sang-Min
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8911006/
https://www.ncbi.nlm.nih.gov/pubmed/35268350
http://dx.doi.org/10.3390/jcm11051259

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8911006/
https://www.ncbi.nlm.nih.gov/pubmed/35268350
http://dx.doi.org/10.3390/jcm11051259

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