Predicting the risk of gastroparesis in critically ill patients after CME using an interpretable machine learning algorithm – a 10-year multicenter retrospective study

Predicting the risk of gastroparesis in critically ill patients after CME using an interpretable machine learning algorithm – a 10-year multicenter retrospective study

BackgroundGastroparesis following complete mesocolic excision (CME) can precipitate a cascade of severe complications, which may significantly hinder postoperative recovery and diminish the patient’s quality of life. In the present study, four advanced machine learning algorithms—Extreme Gradient Bo...

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Bibliographic Details
Main Authors: Yuan Liu, Songyun Zhao, Wenyi Du, Wei Shen, Ning Zhou
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-01-01
Series:Frontiers in Medicine
Subjects:
colonic neoplasms
intensive care unit
gastroparesis
prognosis
risk factor
machine learning
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2024.1467565/full
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https://www.frontiersin.org/articles/10.3389/fmed.2024.1467565/full

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