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Updated: Jun 11, 2025

Study of In Vivo Glucose Metabolism in High-fat Diet-fed Mice Using Oral Glucose Tolerance Test OGTT and Insulin Tolerance Test ITT
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关于快食葡萄糖受损的风险因素的研究和基于极端梯度增强算法预测模型的开发

Qiyuan Cui1, Jianhong Pu1, Wei Li2

  • 1Department of Geriatrics, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.

Frontiers in endocrinology
|October 9, 2024
PubMed
概括

使用XGBoost的机器学习模型可以预测老年人的禁食葡萄糖 (IFG) 损失. 关键预测因素包括静脉血压,脂肪肝,腰围和血清肌素,有助于早期识别.

关键词:
人工智能的人工智能是人工智能.队列研究是一项队列研究.禁食葡萄糖受损 禁食葡萄糖受损中年和老年人中年和老年人.预测模型 预测模型

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