Article

Calibrated and Interpretable Machine Learning for ICU Mortality Prediction Using First 24-Hour Clinical Data

2026-06-02

Abstract excerpt

<h4>Objective</h4> To develop, calibrate, and interpret machine learning models for predicting in-hospital mortality among intensive care unit (ICU) patients using clinical data from the first 24 hours of admission. <h4>Methods</h4> We analyzed 53,866 adult ICU admissions from MIMIC-IV (v2.2), including 5,787 in-hospital deaths (10.7%). An enhanced feature-engineering pipeline generated 88 laboratory features ca...

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Literature Corpus work: 6820ef34-e872-537f-a1dc-a5a53a391d5a
DOI: 10.64898/2026.05.30.26354524

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