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基于SHAP值的集群分析在使用动脉静脉的血液透析患者中的应用
Peng Shu1, Ling Huang1, Xia Wang1
1The Central Hospital of Wuhan,Tongji Medical College,Huazhong University of Science and Technology, Wuhan, Hubei Province, People's Republic of China.
International journal of general medicine
|September 19, 2025
概括
使用动脉静脉囊的血液透析患者表现出不同的预后. 集群分析揭示了不同的患者亚组,血红蛋白水平显著影响结果,表明个性化治疗策略的潜力.
科学领域:
- 科和数据科学在临床研究中的应用.
- 使用先进的统计方法进行患者分层.
背景情况:
- 血液透析患者有动脉静脉的预后是高度可变的.
- 影响因素包括血管疾病和并发症.
研究的目的:
- 在有动脉静脉囊的血液透析患者中确定不同的患者子组.
- 通过集群分析和SHAP值来确定影响患者预后的关键因素.
主要方法:
- 对有动脉静脉囊的974名血液透析患者和55名临床特征的分析.
- 应用K-Means集群,缩小维数 (PCA) 和SHAP值分析.
- 使用轮系数和卡林斯基-哈拉巴斯指数对集群算法的评估.
主要成果:
- 通过K-Means集群,确定了三个不同的患者子组.
- 血红蛋白度成为推动患者分层的最重要因素 (SHAP值:550).
- 年龄,BMI和总胆固醇也通过非线性相互作用导致了亚组差异.
结论:
- 集群分析与SHAP值相结合,可以揭示血液透析中的患者异质性.
- 血红蛋白度似乎是定义患者亚组的关键因素.
- 这些发现表明了个性化治疗方法的潜力,等待综合性多中心验证.
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