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一种机器学习方法来预测2型糖尿病的血管化风险:一项回顾性研究

Xue Liang1,2, Xinyu Li1, Guosheng Li3

  • 1Department of Endocrinology, Dalian Municipal Central Hospital, Dalian, China.

Clinical cardiology
|April 2, 2024
PubMed
概括

这项研究开发了机器学习模型,用于预测2型糖尿病患者的血管化 (VC). 天真贝叶斯模型显示出最高的预测准确度,有助于早期识别高风险个体.

关键词:
朴素的贝叶斯 (Bayes) 是一个天真的人.交叉截面研究研究.k-最近的邻居机器学习是机器学习.预测模型 预测模型2型糖尿病是什么?血管化 血管化

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