左心室应变曲线的基于特征的聚类,用于一般人群中心血管风险分层

Evangelos Ntalianis1, Nicholas Cauwenberghs1, František Sabovčik1

  • 1Research Unit Hypertension and Cardiovascular Epidemiology, KU Leuven Department of Cardiovascular Sciences, University of Leuven, Leuven, Belgium.

PubMed
概括

机器学习在一般人群中确定了四个不同的左心室 (LV) 菌株现象组. 这些由详细的LV菌株曲线得出的现象组预测了超出峰值LV菌株测量的心血管事件风险.

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