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Updated: Sep 24, 2025

Ultrasonic Assessment of Myocardial Microstructure
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rECHOmmend:基于心电图的机器学习方法用于识别通过心电图检测到未被诊断的结构性心脏病风险增加的患者

Alvaro E Ulloa-Cerna1, Linyuan Jing1, John M Pfeifer1,2,3

  • 1Department of Translational Data Science and Informatics (A.E.U-C., L.J., J.M.P., S.R., J.A.R., C.W.G., C.M.H., B.K.F., R.C.); Geisinger, Danville, PA.

Circulation
|May 9, 2022
PubMed
概括

使用心电图 (ECG) 的新型机器学习模型可以预测多种结构性心脏病,改善早期检测并针对患者进行心电图. 这种方法有助于诊断诊断不足的疾病,改善患者的治疗结果.

关键词:
心肌疾病心声检查心电图心脏膜疾病机器学习室内功能障碍

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