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Updated: Jan 8, 2026

Constructing and Visualizing Models using Mime-based Machine-learning Framework
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Constructing and Visualizing Models using Mime-based Machine-learning Framework

Published on: July 22, 2025

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从生物化学和临床数据开发可解释的机器学习模型,以预测心血管疾病和癌症共发病的全因和因特定死亡率:基于NHANESES的纵向研究

Lu Chai1, Xiwei Shi2, Xiaohui Wang2

  • 1HunanNormal University Health Science Center, Changsha, Hunan 410013, China; Kiang Wu Nursing College of Macau, Macao, Macao SAR 999078, China.

International journal of cardiology
|December 12, 2025
PubMed
概括

这项研究开发了可解释的机器学习模型,以预测心血管疾病和癌症的成年人死亡率. 随机生存森林 (RSF) 的表现优于传统模型,确定了更好的患者分层的关键风险因素.

关键词:
癌症 癌症 癌症 癌症心血管疾病是什么心血管疾病机器学习是机器学习.随机生存森林是随机生存的森林.在SHAP分析中,我们分析了SHAP.

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