Prediction model of in-hospital mortality risk in intensive care unit patients with cardiac arrest: a multicenter retrospective cohort study based on an ensemble model

The EL model outperformed single ML models in predicting IHCA patient death risk. The identified seven key features enabled the parsimonious EL model to reliably estimate the death risk.

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Publication Details

Journal
Frontiers in Cardiovascular Medicine
Published
2025-05-20
DOI
https://doi.org/10.3389/fcvm.2025.1582636
Primary Topic
Cardiac Arrest and Resuscitation
Type
article
Field-Weighted Citation Impact
0.00

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article

Prediction model of in-hospital mortality risk in intensive care unit patients with cardiac arrest: a multicenter retrospective cohort study based on an ensemble model

Wyman W. Lai, Yancun Liu, Muming Yu, Yanfen Chai et al.
Frontiers in Cardiovascular Medicine
Cardiac Arrest and Resuscitation
article

Prediction model of in-hospital mortality risk in intensive care unit patients with cardiac arrest: a multicenter retrospective cohort study based on an ensemble model

Wyman W. Lai, Yancun Liu, Muming Yu, Yanfen Chai, Bowen Li, Li Liu, Shu-Hang Wang
article en

Abstract

The EL model outperformed single ML models in predicting IHCA patient death risk. The identified seven key features enabled the parsimonious EL model to reliably estimate the death risk.

Frontiers in Cardiovascular MedicineVol. 12
Nankai University (CN), Tianjin Medical University General Hospital (CN)
National Natural Science Foundation of China, Natural Science Foundation of Tianjin City
Openalex Percentile: Top 81%
Cardiac Arrest and Resuscitation
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Prediction model of in-hospital mortality risk in intensive care unit patients with cardiac arrest: a multicenter retrospective cohort study based on an ensemble model — Wyman W. Lai, Yancun Liu, et al. · Frontiers in Cardiovascular Medicine (2025) | TGRS Research Map | TGRS