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Updated: Jun 29, 2026

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使用可解释的人工智能对急性缺血性中风患者的个性化死亡率预测

Lingyu Xu1, Chenyu Li1,2, Jiaqi Zhang3

  • 1Department of Nephrology, The Affiliated Hospital of Qingdao University, 16 Jiangsu Road, Qingdao, 266003, China.

European journal of medical research
|June 20, 2024
PubMed
概括

患有急性病 (AKD) 的急性缺血性中风 (AIS) 患者的死亡风险更高. 可解释的机器学习模型可以预测死亡率,帮助这些高风险患者的早期预防策略.

关键词:
急性缺血性中风是一次急性缺血性中风.急性脏病是一种急性脏病.人工智能的人工智能是人工智能.机器学习是机器学习.死亡率 死亡率 死亡率

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