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Updated: Jan 8, 2026

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基于机器学习的预测预测模型在通道阻断剂中毒中毒

Babak Mostafazadeh1, Sayed Masoud Hosseini1, Shahin Shadnia1

  • 1Toxicological Research Center, Excellence Center of Clinical Toxicology, Department of Clinical Toxicology, Loghman Hakim Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

Archives of academic emergency medicine
|December 16, 2025
PubMed
概括

机器学习模型准确地预测了通道阻断剂 (CCB) 中毒的结果. XGBoost和CatBoost表现出卓越的性能,有助于早期风险分层的CCB中毒患者.

关键词:
通道阻塞剂 通道阻塞剂机器学习是机器学习.这是中毒的毒害.预测 预后 预测 预测

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