Predicting mortality in intensive care unit patients with acute pancreatitis using an interpretable machine learning model

Predicting mortality in intensive care unit patients with acute pancreatitis using an interpretable machine learning model

BackgroundAcute pancreatitis (AP) in the intensive care unit (ICU) is linked to elevated in-hospital mortality rates. Timely identification of high-risk patients remains challenging. This study aimed to develop an interpretable machine learning model for predicting in-hospital mortality in ICU patie...

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Bibliographic Details
Main Authors: Li Zhuangli, Zhang Xingcheng, Zhang Xiaoli, Lu Zhonghua, Sun Yun
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-07-01
Series:Frontiers in Medicine
Subjects:
intensive care unit
acute pancreatitis
mortality
machine learning model
SHapley additive exPlanations
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2025.1592051/full
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https://www.frontiersin.org/articles/10.3389/fmed.2025.1592051/full

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