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Author Spotlight: Integrated Multi-Omics Analysis for Unveiling Multicellular Immune Signatures in Clinical Heart Attack Cohorts
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系统性炎症反应指数对高胆固醇血症患者动脉样硬化心血管疾病风险的预测值:一项机器学习研究,采用双队列验证

Yu Chen1,2, Weikang Huang2, Shihan Zhao2

  • 1Department of Pharmacy, Shanghai Children's Medical Center Guizhou Hospital, Shanghai Jiao tong University School of Medicine, Guiyang, China.

Lipids in health and disease
|October 31, 2025
PubMed
概括

系统性炎症反应指数 (SIRI) 是高胆固醇血症患者动脉样硬化心血管疾病 (ASCVD) 的重要预测指标. 结合SIRI的可解释机器学习模型有助于预测ASCVD风险,改善早期识别.

关键词:
动脉样硬化心血管疾病.超高胆固醇血症是什么情况机器学习是机器学习.风险预测风险预测系统性炎症反应指数

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