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Updated: Jul 27, 2026

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机器学习是一种有效的方法,可以预测急性缺血性中风患者的3个月预后

Qing Huang1, Guang-Li Shou2, Bo Shi3

  • 1School of Public Health, Bengbu Medical University, Bengbu, Anhui, China.

Frontiers in neurology
|June 28, 2024
PubMed
概括

机器学习准确地预测了急性缺血性中风 (AIS) 幸存者的早期结果. 使用初始临床数据的随机森林模型在预测患者的预后和残疾方面显示出高准确度.

关键词:
缺血性中风 中风机器学习是机器学习.预测模型 预测模型预后 预后 预后随机的森林随机的森林

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