Predicting in-hospital mortality in patients with alcoholic cirrhosis complicated by severe acute kidney injury: development and validation of an explainable machine learning model

Predicting in-hospital mortality in patients with alcoholic cirrhosis complicated by severe acute kidney injury: development and validation of an explainable machine learning model

BackgroundAt present, there are no specialized models for predicting mortality risk in patients with alcoholic cirrhosis complicated by severe acute kidney injury (AKI) in the ICU. This study aims to develop and validate machine learning models to predict the mortality risk of this population during...

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Bibliographic Details
Main Authors: Meina Sun, Shihui Liu, Jie Min, Lei Zhong, Jinyu Zhang, Zhian Du
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-05-01
Series:Frontiers in Medicine
Subjects:
alcoholic cirrhosis
acute kidney Injury
in-hospital mortality
machine learning
predictive model
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2025.1570928/full
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https://www.frontiersin.org/articles/10.3389/fmed.2025.1570928/full

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