Development and validation of an interpretable multi-task model to predict outcomes in patients with rhabdomyolysis: a multicenter retrospective cohort studyResearch in context

Development and validation of an interpretable multi-task model to predict outcomes in patients with rhabdomyolysis: a multicenter retrospective cohort studyResearch in context

Summary: Background: Rhabdomyolysis (RM) is a complex clinical syndrome with heterogeneous progression patterns among patients of varying severity. Early and accurate prediction of acute kidney injury (AKI), disease severity, renal replacement therapy (RRT) requirements, and mortality risk is essen...

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Bibliographic Details
Main Authors: Chunli Liu, Jie Shi, Fengjuan Wang, Duo Li, Yu Luo, Bofan Yang, Yunlong Zhao, Li Zhang, Dingwei Yang, Heng Jin, Jie Song, Xiaoqin Guo, Haojun Fan, Qi Lv
Format: Article
Language:English
Published: Elsevier 2025-09-01
Series:EClinicalMedicine
Subjects:
Rhabdomyolysis
Acute kidney injury
Renal replacement therapy
Mortality
Machine learning
Prediction model
Online Access:http://www.sciencedirect.com/science/article/pii/S2589537025003700
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