The future of critical care: AI-powered mortality prediction for acute variceal gastrointestinal bleeding and acute non-variceal gastrointestinal bleeding patients

The future of critical care: AI-powered mortality prediction for acute variceal gastrointestinal bleeding and acute non-variceal gastrointestinal bleeding patients

BackgroundAcute upper gastrointestinal bleeding (AUGIB) is one of the most common critical diseases encountered in the intensive care unit (ICU), with a mortality rate ranging from 15 to 20%. Accurate stratification of acute gastrointestinal bleeding into acute variceal gastrointestinal bleeding (AV...

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Bibliographic Details
Main Authors: Zhou Liu, Guijun Jiang, Liang Zhang, Palpasa Shrestha, Yugang Hu, Yi Zhu, Guang Li, Yuanguo Xiong, Liying Zhan
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-05-01
Series:Frontiers in Medicine
Subjects:
acute variceal gastrointestinal bleeding
acute non-variceal gastrointestinal bleeding
extremely randomized trees
gradient boosting
artificial intelligence
mortality
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2025.1580094/full
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https://www.frontiersin.org/articles/10.3389/fmed.2025.1580094/full

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