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Updated: Feb 8, 2026

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开发和验证一种机器学习模型,用于预测急性缺血性中风中的血栓溶解后发作

Liangliang Jia1,2, Yueqin Hu1, Guilan Jin1,3

  • 1Department of Pharmacy, Yichang Central People's Hospital, Yichang, Hubei, China.

Medicine
|February 6, 2026
PubMed
概括

机器学习使用临床数据准确预测急性缺血性中风 (AIS) 患者的中风后发作 (PSS). 关键预测因素包括禁食血糖,血清,血清和年龄,从而可以更好地评估风险.

关键词:
可以解释的解释性.机器学习是机器学习.在中风后发作.预测模型 预测模型血栓溶解是一种血栓溶解.

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