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Updated: Jan 29, 2026

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可解释的机器学习来预测中风风险:与基于SHAP的解释进行比较研究

Xiaoyu Tang1,2,3, Min Tang4, Wu Liu4

  • 1Shenzhen Hospital (Fu Tian) of Guangzhou University of Chinese Medicine, The Sixth Clinical School, Guangzhou University of Chinese Medicine, Shenzhen, Guangdong, China.

Frontiers in neurology
|January 28, 2026
PubMed
概括

机器学习模型显著改善了中风风险预测,优于传统方法. 关键因素包括高血压,血糖和年龄,提高早期检测和管理.

关键词:
这就是 SHAP SHAP 的意思.机器学习是机器学习.模型的解释性可解释性神经网络的神经网络的神经网络预测中风 预测中风

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