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Updated: Sep 9, 2025

Analyzing Long-Term Electrocardiography Recordings to Detect Arrhythmias in Mice
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使用机器学习技术预测急性中毒的QTc延长:毒药控制中心的一项研究

Asmaa Fady Sharif1,2, Ahmad Hafez3, Manar Maher Fayed1

  • 1Forensic Medicine and Clinical Toxicology Department, Faculty of Medicine, Tanta University, Tanta, Egypt.

Cardiovascular toxicology
|August 30, 2025
PubMed
概括

机器学习模型可以准确预测急性非典型抗精神病药中毒患者的QTc间隔延长和机械呼吸 (MV). 基于树的模型显示出高性能,表明临床应用的潜力.

关键词:
非典型的抗精神病药物中毒分类器机器学习算法机械通风延长的 QTc 间隔

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