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Updated: May 7, 2026

Optimized System for Cerebral Perfusion Monitoring in the Rat Stroke Model of Intraluminal Middle Cerebral Artery Occlusion
12:15

Optimized System for Cerebral Perfusion Monitoring in the Rat Stroke Model of Intraluminal Middle Cerebral Artery Occlusion

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使用可解释机器学习的临床决策支持系统,用于治疗患有缺血性中风而入院ICU的老年患者的3个月死亡率

Jian Huang1,2,3, Xiaozhu Liu4, Wanlin Jin1,2

  • 1Health Management Center, Hunan Provincial Clinical Medicine Research Center for Intelligent Management of Chronic Disease, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China.

Digital health
|September 24, 2024
PubMed
概括

机器学习模型可以预测缺血性中风 (IS) 的老年患者的3个月死亡率. CatBoost 模型表现出最好的表现,帮助早期识别高风险个体,以改善医疗保健.

关键词:
预测模型的预测模型.年长的病人,老年患者.医院死亡率 医院死亡率缺血性中风 中风机器学习是机器学习.

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