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Updated: Jan 23, 2026

Evaluation of Right Ventricular Function in Experimental Models of Pulmonary Arterial Hypertension
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基于心电图的单线机器学习模型,用于在高血压中非侵入性检测左心室缩

Eleni Angelaki1, Ioannis Kopidakis2, Georgios D Barmparis3

  • 1Cardiovascular Research Center, Massachusetts General Hospital, Boston, Massachusetts, USA; Cardiovascular Disease Initiative, The Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA; Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA.

Hellenic journal of cardiology : HJC = Hellenike kardiologike epitheorese
|January 21, 2026
PubMed
概括

使用单线心电图和临床数据的机器学习模型在高血压患者中有效检测左心室缩 (LVH). 关键预测因素包括年龄,纠正的QT间隔,T波持续时间和性别,突出ECG.

关键词:
心血管风险分层的分层.左心室过度缩小的情况机器学习 机器学习随机的森林 随机的森林选工具 选工具 选工具单线心电图 (ECG) 是一个单线心电图.

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