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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...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2022
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| Materias: | |
| 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 |