Predicting graft failure in pediatric liver transplantation based on early biomarkers using machine learning models

The early detection of graft failure in pediatric liver transplantation is crucial for appropriate intervention. Graft failure is associated with numerous perioperative risk factors. This study aimed to develop an individualized predictive model for 90-days graft failure in pediatric liver transplan...

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Detalles Bibliográficos
Autores principales: Jung, Seungho, Park, Kyemyung, Ihn, Kyong, Kim, Seon Ju, Kim, Myoung Soo, Chae, Dongwoo, Koo, Bon-Nyeo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9794703/
https://www.ncbi.nlm.nih.gov/pubmed/36575218
http://dx.doi.org/10.1038/s41598-022-25900-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9794703/
https://www.ncbi.nlm.nih.gov/pubmed/36575218
http://dx.doi.org/10.1038/s41598-022-25900-0

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