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Updated: Sep 18, 2025

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基于XGBoost和SHAP的韩国绝经后妇女高血压分类风险因素分析

Hojeong Kim1, Mavlonbek Khomidov2, Jong-Ha Lee1

  • 1Department of Biomedical Engineering, Keimyung University, Daegu 42601, Republic of Korea.

Bioengineering (Basel, Switzerland)
|June 26, 2025
PubMed
概括

绝经后妇女的高血压风险增加. 这项研究使用机器学习将年龄和腰围 (WC) 确定为关键风险因素,建议WC管理以预防.

关键词:
沙普利的添加式扩展 扩展.无法解释的人工智能这种高血压,高血压.机器学习是机器学习.在更年期后的绝经后.

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