Using XGBoost for Predicting In-Stent Restenosis Post-DES Implantation: Role of Lymphocyte-to-Monocyte Ratio and Residual Cholesterol

LMR and RC are identified as cost-effective and reliable biomarkers for predicting ISR risk in ACS patients following drug-eluting stent (DES) implantation. LMR and RC represent cost-effective and reliable biomarkers for predicting ISR risk in ACS patients following drug-eluting stent implantation. Enhances the accuracy and clinical utility of ISR prediction models, offering clinicians a robust tool for risk stratification and personalized patient management.

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Publication Details

Journal
International Journal of General Medicine
Published
2024-08-01
DOI
https://doi.org/10.2147/ijgm.s477053
Citations
2
Primary Topic
Coronary Interventions and Diagnostics
Type
article
Field-Weighted Citation Impact
1.15
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article

Using XGBoost for Predicting In-Stent Restenosis Post-DES Implantation: Role of Lymphocyte-to-Monocyte Ratio and Residual Cholesterol

Jinbo Zhao, Yuanhong Li, Ling Hou, Ke Su et al.
2 citations
International Journal of General Medicine
Coronary Interventions and Diagnostics
1.15
article

Using XGBoost for Predicting In-Stent Restenosis Post-DES Implantation: Role of Lymphocyte-to-Monocyte Ratio and Residual Cholesterol

Jinbo Zhao, Yuanhong Li, Ling Hou, Ke Su, Ting He
article en
2 citations

Abstract

LMR and RC are identified as cost-effective and reliable biomarkers for predicting ISR risk in ACS patients following drug-eluting stent (DES) implantation. LMR and RC represent cost-effective and reliable biomarkers for predicting ISR risk in ACS patients following drug-eluting stent implantation. Enhances the accuracy and clinical utility of ISR prediction models, offering clinicians a robust tool for risk stratification and personalized patient management.

International Journal of General MedicineVol. Volume 17
Hubei University of Medicine (CN), The Central Hospital of Enshi Tujia and Miao Autonomous Prefecture (CN)
Zero hunger
Openalex Percentile: Top 21%
Coronary Interventions and Diagnostics
1.15
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