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Updated: Feb 5, 2026

Real-Time Monitoring and Modulation of Blood Pressure in a Rabbit Model of Ischemic Stroke
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Real-Time Monitoring and Modulation of Blood Pressure in a Rabbit Model of Ischemic Stroke

Published on: February 10, 2023

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从真实世界的数据中使用机器学习预测复发性缺血性中风.

Noor Haidar Kadum Alsalman1,2, Amani Al-Ghraibah3, Siti Maisharah Sheikh Ghadzi4

  • 1School of Pharmaceutical Sciences, Universiti Sains Malaysia, Penang, Malaysia. ph.noor.alsalmany@gmail.com.

BMC medical research methodology
|February 3, 2026
PubMed
概括

机器学习模型可以使用现实数据预测复发性缺血性中风 (RIS) 风险. 该RUSBoost模型显示出最好的表现,确定了改善患者护理的关键风险因素.

关键词:
功能选择 功能选择缺血性中风是因为缺血性中风.K-最近的邻居机器学习是机器学习.在RUSBoost的支持下.复发情况 复发情况在SMOTE中使用.支持矢量机器的支持矢量机器.

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