使用分类和回归树分析进行患者特异性的多因素死亡风险评估,在门诊血压监测的背景下进行回归树分析

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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

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Bahar Tekin Çetin1, Nuri Baris Hasbal2, Enes Cevik3

  • 1Department of Internal Medicine, Koc University School of Medicine, Istanbul, Turkey.

Journal of nephrology
|November 6, 2024
PubMed
概括

门诊血压监测 (ABPM) 有助于评估高血压风险. 使用ABPM数据的综合模型有效预测死亡率和心血管事件,优于传统方法.

关键词:
所有原因的死亡率.健行式血压监测系统可以监测血压.在CART分析中,在高血压的高血压.

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