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在现实世界中通过机器学习预测2型糖尿病的糖尿病病:一个多中心的回顾性研究

Xiao Zhu Liu1,2, Minjie Duan2,3, Hao Dong Huang2,3

  • 1Department of Cardiology, the Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.

Frontiers in endocrinology
|July 20, 2023
PubMed
概括

一个机器学习模型有助于诊断2型糖尿病病 (T2DKD). 使用血压和肌素等关键临床因素的CatBoost模型在预测T2DKD风险方面表现出很高的准确性.

关键词:
在 CatBoost 模型中.糖尿病病 糖尿病病机器学习是机器学习.预测 预测 预测 预测2型糖尿病是什么?

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