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Updated: Jul 15, 2025

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根据传统的多变量逻辑回归和机器学习预测2型糖尿病患者骨矿物质密度下降的风险:一项初步研究

Junli Zhang1, Zhenghui Xu1, Yu Fu2

  • 1Department of Endocrinology and Metabolism, The Third Affiliated Hospital of Soochow University, Changzhou, People's Republic of China.

Diabetes, metabolic syndrome and obesity : targets and therapy
|September 25, 2023
PubMed
概括

与传统方法相比,机器学习模型,特别是XGBoost,在预测50岁以上2型糖尿病 (T2DM) 患者的骨矿物密度 (BMD) 降低方面显示出更高的准确性. 这些先进的模型为T2DM相关的骨损失提供了改进的风险评估.

关键词:
骨矿物质密度下降 骨矿物质密度下降机器学习是机器学习.这个名字是名ogramogram.预测模型 预测模型2型糖尿病是什么?

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