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Updated: Jan 9, 2026

Methods for ECG Evaluation of Indicators of Cardiac Risk, and Susceptibility to Aconitine-induced Arrhythmias in Rats Following Status Epilepticus
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Methods for ECG Evaluation of Indicators of Cardiac Risk, and Susceptibility to Aconitine-induced Arrhythmias in Rats Following Status Epilepticus

Published on: April 5, 2011

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霍尔特监视儿科长QT综合征中的QT分散和QTc-分散以及诊断和心律失常风险预测模型的开发

Hadeel Allam1, Na Le Dang1, Edita Karasalihovic1

  • 1Division of Pediatric Cardiology Washington University School of Medicine St. Louis MO USA.

Journal of the American Heart Association
|December 3, 2025
PubMed
概括

霍尔特对QT分散的监测有助于诊断长QT综合征 (LQTS) 和预测心律失常风险. 机器学习模型在儿科LQTS患者的诊断和风险分层方面都显示出高准确度.

关键词:
霍尔特监控的监控方法我们的LQTS心律失常的风险 发生心律失常的风险人工智能的人工智能是人工智能.机器学习是机器学习.

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