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Updated: Feb 12, 2026

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通过基于周血管脂肪组织特征的可解释机器学习来预测2型糖尿病患者中风事件:一个多中心队列研究

Ting Zhao1,2, Guihan Lin1,3, Weiyue Chen1,3

  • 1Zhejiang Key Laboratory of Imaging and Interventional Medicine, The Fifth Affiliated Hospital of Wenzhou Medical University, Lishui, China.

Quantitative imaging in medicine and surgery
|February 11, 2026
PubMed
概括

这项研究开发了一种机器学习模型,使用成像数据来预测2型糖尿病患者的中风. 该模型准确识别高风险个体,有助于预防中风的策略.

关键词:
沙普利添加式扩张 (SHAP)二型糖尿病 (T2DM) 是一种糖尿病.没有事件的生存率 (EFS)缺血性中风 (IS) 是一种周周脂肪组织 (PVAT)

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