Predicting the risk of postoperative gastrointestinal bleeding in patients with Type A aortic dissection based on an interpretable machine learning model

Predicting the risk of postoperative gastrointestinal bleeding in patients with Type A aortic dissection based on an interpretable machine learning model

BackgroundGastrointestinal bleeding (GIB) is a common complication following Type A aortic dissection (TAAD) surgery, significantly impacting prognosis and increasing mortality risk. This study developed and validated a predictive model based on machine learning (ML) algorithms to enable early and p...

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Bibliographic Details
Main Authors: Lin Li, Xing Yang, Wei Guo, Wenxian Wu, Meixia Guo, Huanhuan Li, Xueyan Wang, Siyu Che
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-05-01
Series:Frontiers in Medicine
Subjects:
Type A aortic dissection
gastrointestinal bleeding
machine learning
prediction model
the SHapley Additive exPlanation
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2025.1554579/full
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https://www.frontiersin.org/articles/10.3389/fmed.2025.1554579/full

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