Predicting in-hospital mortality in ICU patients with Coronary heart disease and diabetes mellitus using machine learning models

Machine learning models, especially the gradient boosting classifier, demonstrated superior performance in predicting in-hospital mortality in ICU patients with CHD and diabetes, outperforming traditional statistical methods. These models provide valuable insights for risk stratification and have the potential to improve clinical outcomes. Future work should focus on external validation and clinical implementation to further enhance their applicability and effectiveness in managing this high-risk population.

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Publication Details

Journal
PLoS ONE
Published
2025-08-14
DOI
https://doi.org/10.1371/journal.pone.0330381
Citations
2
Primary Topic
Machine Learning in Healthcare
Type
article
Field-Weighted Citation Impact
4.96
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article

Predicting in-hospital mortality in ICU patients with Coronary heart disease and diabetes mellitus using machine learning models

Hongke Jiang, Zhonghou Cai, Haijian Luo, Hang Yu et al.
2 citations
PLoS ONE
Machine Learning in Healthcare
4.96
article

Predicting in-hospital mortality in ICU patients with Coronary heart disease and diabetes mellitus using machine learning models

Hongke Jiang, Zhonghou Cai, Haijian Luo, Hang Yu, Ling Wu, Guang Huan Tu
article en
2 citations

Abstract

Machine learning models, especially the gradient boosting classifier, demonstrated superior performance in predicting in-hospital mortality in ICU patients with CHD and diabetes, outperforming traditional statistical methods. These models provide valuable insights for risk stratification and have the potential to improve clinical outcomes. Future work should focus on external validation and clinical implementation to further enhance their applicability and effectiveness in managing this high-risk population.

PLoS ONEVol. 20(8)
Shanghai Public Health Clinical Center (CN), First Affiliated Hospital of Xi'an Jiaotong University (CN), Fujian Provincial People's Hospital (CN), First Affiliated Hospital of Jinan University (CN), Shanghai Maritime University (CN)
Openalex Percentile: Top 5%
Machine Learning in Healthcare
4.96
DOIOpen Access PDFOpenAlex
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Predicting in-hospital mortality in ICU patients with Coronary heart disease and diabetes mellitus using machine learning models — Hongke Jiang, Zhonghou Cai, et al. · PLoS ONE (2025) | TGRS Research Map | TGRS