Development and validation of a machine learning-based model to predict survival in patients with cirrhosis after transjugular intrahepatic portosystemic shuntResearch in context

Development and validation of a machine learning-based model to predict survival in patients with cirrhosis after transjugular intrahepatic portosystemic shuntResearch in context

Summary: Background: Although numerous prognostic scores have been developed for patients with cirrhosis after Transjugular intrahepatic portosystemic shunt (TIPS) placement over years, an accurate machine learning (ML)-based model remains unavailable. The aim of this study was to develop and valid...

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Bibliographic Details
Main Authors: Binlin Da, Huan Chen, Wei Wu, Wuhua Guo, Anru Zhou, Qin Yin, Jun Gao, Junhui Chen, Jiangqiang Xiao, Lei Wang, Ming Zhang, Yuzheng Zhuge, Feng Zhang
Format: Article
Language:English
Published: Elsevier 2025-01-01
Series:EClinicalMedicine
Subjects:
Random forest model
Prediction
Survival
Cirrhosis
Transjugular intrahepatic portosystemic shunt
Online Access:http://www.sciencedirect.com/science/article/pii/S2589537024005807
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