Development and validation of an explainable machine learning model for mortality prediction among patients with infected pancreatic necrosisResearch in context

Development and validation of an explainable machine learning model for mortality prediction among patients with infected pancreatic necrosisResearch in context

Summary: Background: Infected pancreatic necrosis (IPN) represents a severe complication of acute pancreatitis, commonly linked with mortality rates ranging from 15% to 35%. However, the present mortality prediction tools for IPN are limited and lack sufficient sensitivity and specificity. This stu...

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Main Authors: Caihong Ning, Hui Ouyang, Jie Xiao, Di Wu, Zefang Sun, Baiqi Liu, Dingcheng Shen, Xiaoyue Hong, Chiayan Lin, Jiarong Li, Lu Chen, Shuai Zhu, Xinying Li, Fada Xia, Gengwen Huang
Format: Article
Language:English
Published: Elsevier 2025-02-01
Series:EClinicalMedicine
Subjects:
Infected pancreatic necrosis
Machine learning
Prediction model
SHapley additive exPlanations
Shiny app
Online Access:http://www.sciencedirect.com/science/article/pii/S2589537025000069
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