Predicting the risk of acute kidney injury in patients with acute pancreatitis complicated by sepsis using a stacked ensemble machine learning model: a retrospective study based on the MIMIC database

Predicting the risk of acute kidney injury in patients with acute pancreatitis complicated by sepsis using a stacked ensemble machine learning model: a retrospective study based on the MIMIC database

Objective This study developed and validated a stacked ensemble machine learning model to predict the risk of acute kidney injury in patients with acute pancreatitis complicated by sepsis.Design A retrospective study based on patient data from public databases.Participants This study analysed 1295 p...

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Bibliographic Details
Main Authors: Ying Zhou, Fuyuan Li, Zhan Wang, Zhanjin Wang, Ruiling Bian, Zhangtuo Xue, Junjie Cai
Format: Article
Language:English
Published: BMJ Publishing Group 2025-02-01
Series:BMJ Open
Online Access:https://bmjopen.bmj.com/content/15/2/e087427.full
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