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Predicting graft failure in pediatric liver transplantation based on early biomarkers using machine learning models
- Source :
- Scientific Reports, Vol 12, Iss 1, Pp 1-10 (2022)
- Publication Year :
- 2022
- Publisher :
- Nature Portfolio, 2022.
-
Abstract
- Abstract 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 transplantation using machine learning methods. We conducted a single-center retrospective cohort study. A total of 87 liver transplantation cases performed in patients aged
Details
- Language :
- English
- ISSN :
- 20452322
- Volume :
- 12
- Issue :
- 1
- Database :
- Directory of Open Access Journals
- Journal :
- Scientific Reports
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.bbf40f8a08145eaad20c500fc427b95
- Document Type :
- article
- Full Text :
- https://doi.org/10.1038/s41598-022-25900-0