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可解释的机器学习模型用于对患有与代谢功能障碍相关的脂肪性肝病患者的动脉样性心血管疾病进行分类

Zhengliang Li1, Xiaokai Chen2, Linlin Ren2

  • 1Department of Cardiology, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.

Frontiers in endocrinology
|November 17, 2025
PubMed
概括

机器学习模型准确地预测了与代谢功能障碍相关的脂肪性肝病 (MASLD) 患者的动脉样硬化心血管疾病 (ASCVD) 风险. 这些模型,特别是渐变增强,为MASLD中ASCVD的早期风险分层提供了改进.

关键词:
在 SHAP 解释性模型中,动脉样硬化心血管疾病综合代谢指数综合代谢指数机器学习是机器学习.与代谢功能障碍相关的脂肪性肝病.

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