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Updated: Jan 23, 2026

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基于炎症指数的可解释机器学习模型的开发和验证,用于血液透析患者的死亡风险分层

Zhenhua Yang1, Peng Shu1, Zhuping Wen1

  • 1The Central Hospital of Wuhan, Wuhan, China.

European journal of medical research
|January 22, 2026
PubMed
概括

一个可解释的堆叠模型通过整合炎症指数,准确地预测血液透析患者的死亡率. 该工具有助于风险分层,改善这种高风险人群的临床决策.

关键词:
血液透析患者在进行血液透析.炎症指数是指炎症指数.可以解释的机器学习.预测死亡率风险的预测.堆叠组合模型的模型.

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