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Updated: Jan 29, 2026

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对10年心血管疾病风险预测的生存机器学习模型进行基准测试,使用大规模的电子健康记录

Tianyi Liu1, Andrew Krentz1,2, Lei Lu1

  • 1School of Life Course & Population Sciences, King's College London, London, UK.

Digital health
|January 28, 2026
PubMed
概括

机器学习模型显著改善了对传统方法的10年心血管疾病 (CVD) 风险预测. 这些使用电子健康记录 (EHR) 的先进模型提供了更好的校准和歧视,以提高患者风险评估.

关键词:
心血管疾病的心血管疾病.电子健康记录是电子健康记录.机器学习是机器学习.风险预测风险预测生存分析,生存分析.

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