Mortality risk prediction in NSTE-ACS following PCI: Insights from a real-world cohort

Gradient boosting models, particularly LightGBM and XGBoost, significantly improve mortality prediction in NSTE-ACS patients after PCI. These models may facilitate more accurate risk stratification and guide personalized post-procedural management strategies in clinical practice.

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Publication Details

Journal
PLoS ONE
Published
2025-11-06
DOI
https://doi.org/10.1371/journal.pone.0336130
Primary Topic
Coronary Interventions and Diagnostics
Type
article
Field-Weighted Citation Impact
0.00
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article

Mortality risk prediction in NSTE-ACS following PCI: Insights from a real-world cohort

Shi-Tao Geng, Yingying Luo
PLoS ONE
Coronary Interventions and Diagnostics
article

Mortality risk prediction in NSTE-ACS following PCI: Insights from a real-world cohort

Shi-Tao Geng, Yingying Luo
article en

Abstract

Gradient boosting models, particularly LightGBM and XGBoost, significantly improve mortality prediction in NSTE-ACS patients after PCI. These models may facilitate more accurate risk stratification and guide personalized post-procedural management strategies in clinical practice.

PLoS ONEVol. 20(11)
Tangshan People's Hospital (CN)
Openalex Percentile: Top 49%
Coronary Interventions and Diagnostics
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Mortality risk prediction in NSTE-ACS following PCI: Insights from a real-world cohort — Shi-Tao Geng, Yingying Luo · PLoS ONE (2025) | TGRS Research Map | TGRS