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根据可解释的机器模型预测中国T2DM人口中亚临床动脉样硬化风险

Ximisinuer Tusongtuoheti1,2, Yimeng Shu1,2, Guoqing Huang1,2

  • 1Department of Endocrinology, The First Affiliated Hospital of Ningbo University, Ningbo University, Ningbo, China.

Frontiers in endocrinology
|March 13, 2024
PubMed
概括

这项研究开发了机器学习模型,以预测2型糖尿病 (T2DM) 患者的亚临床动脉样硬化 (SCAS) 风险. 随机森林模型显示出良好的预测价值,识别了早期预防心血管疾病的关键风险因素.

关键词:
独立的风险因素 独立的风险因素可以解释的机器学习.预测模型 预测模型亚临床动脉样硬化2型糖尿病是什么?

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