Machine learning models for predicting in-hospital mortality from acute pancreatitis in intensive care unit

Machine learning models for predicting in-hospital mortality from acute pancreatitis in intensive care unit

Abstract Background Acute pancreatitis (AP) represents a critical medical condition where timely and precise prediction of in-hospital mortality is crucial for guiding optimal clinical management. This study focuses on the development of advanced machine learning (ML) models to accurately predict in...

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Bibliographic Details
Main Authors: Shuxing Wei, Hongmeng Dong, Weidong Yao, Ying Chen, Xiya Wang, Wenqing ji, Yongsheng Zhang, Shubin Guo
Format: Article
Language:English
Published: BMC 2025-05-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Acute pancreatitis
Intensive care unit
Machine learning
Mortality
Decision-making
Online Access:https://doi.org/10.1186/s12911-025-03033-4
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https://doi.org/10.1186/s12911-025-03033-4

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