Predicting post-liver transplantation mortality: a retrospective cohort study on risk factor identification and prognostic nomogram construction

Predicting post-liver transplantation mortality: a retrospective cohort study on risk factor identification and prognostic nomogram construction

Abstract Background To identify risk factors for post-transplant mortality and develop a machine learning-integrated prognostic tool to optimise clinical decision-making in liver transplantation (LT) recipients. Methods This retrospective cohort study analysed 173 allogeneic LT recipients at the Aff...

Full description

Saved in:
Bibliographic Details
Main Authors: Kui Tu, Dan Luo, Xuanyu Gu, Jichang Jiang, Zhihong Zheng, Lijin Zhao
Format: Article
Language:English
Published: BMC 2025-08-01
Series:European Journal of Medical Research
Subjects:
Liver transplantation
Risk factors
Machine learning
Transplantation prognosis
Survival prediction
Online Access:https://doi.org/10.1186/s40001-025-03021-4
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1186/s40001-025-03021-4

Similar Items