Article

XGBoost-Based Prediction of ICU Mortality in Sepsis-Associated Acute Kidney Injury Patients Using MIMIC-IV Database with Validation from eICU Database

2025-02-25

Abstract excerpt

<h4>Background</h4> Sepsis-Associated Acute Kidney Injury (SA-AKI) leads to high mortality in intensive care. This study develops machine learning models using the Medical Information Mart for Intensive Care IV (MIMIC-IV) database to predict Intensive Care Unit (ICU) mortality in SA-AKI patients. External validation is conducted using the eICU Collaborative Research Database. <h4>Methods</h4> For 9,474 identified...

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Literature Corpus work: 5fb3b213-2ec3-5e72-8e56-ac489a61f275
DOI: 10.1101/2025.02.24.25322816

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