Machine learning predictive model for aspiration risk in early enteral nutrition patients with severe acute pancreatitis

Machine learning predictive model for aspiration risk in early enteral nutrition patients with severe acute pancreatitis

Background: The aim of this study was to build and validate a risk prediction model for aspiration in severe acute pancreatitis patients receiving early enteral nutrition (EN) by identifying risk factors for aspiration in these patients. Methods: The risk factors for aspiration were analyzed to buil...

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Bibliographic Details
Main Authors: Bo Zhang, Huanqing Xu, Qigui Xiao, Wanzhen Wei, Yifei Ma, Xinlong Chen, Jingtao Gu, Jiaoqiong Zhang, Lan Lang, Qingyong Ma, Liang Han
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Heliyon
Subjects:
Aspiration
Enteral nutrition
Severe acute pancreatitis
Predictive model
Risk factors
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844024162676
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