Superior machine learning model for post-cardiac arrest mortality prediction: a MIMIC-IV cohort study

Our machine learning model demonstrated superior accuracy for 28-day mortality prediction in post-cardiac arrest patients. Dynamic lactate clearance and neurological assessment provide actionable clinical insights for risk stratification.

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Publication Details

Journal
Resuscitation Plus
Published
2026-01-12
DOI
https://doi.org/10.1016/j.resplu.2026.101223
Primary Topic
Cardiac Arrest and Resuscitation
Type
article
Field-Weighted Citation Impact
0.00
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article

Superior machine learning model for post-cardiac arrest mortality prediction: a MIMIC-IV cohort study

Danxia Chen, Yan Li, Guode Li, Weifeng Yuan
Resuscitation Plus
Cardiac Arrest and Resuscitation
article

Superior machine learning model for post-cardiac arrest mortality prediction: a MIMIC-IV cohort study

Danxia Chen, Yan Li, Guode Li, Weifeng Yuan
article en

Abstract

Our machine learning model demonstrated superior accuracy for 28-day mortality prediction in post-cardiac arrest patients. Dynamic lactate clearance and neurological assessment provide actionable clinical insights for risk stratification.

Resuscitation PlusVol. 28
Tongji University (CN), Shanghai East Hospital (CN), Shanghai Tenth People's Hospital (CN)
Good health and well-being
Openalex Percentile: Top 91%
Cardiac Arrest and Resuscitation
DOIOpen Access PDFOpenAlex
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