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机器学习模型的开发,用于在1型糖尿病患者高血糖期间识别升高的体

Simon Lebech Cichosz1, Clara Bender1

  • 1Department of Health Science and Technology, Aalborg University, Aalborg, Denmark.

Diabetes technology & therapeutics
|March 8, 2024
PubMed
概括

使用连续血糖监测 (CGM) 数据,可以预测糖尿病酸症 (DKA) 风险. 机器学习模型识别了基体升高的患者,使得早期干预能够预防严重并发症.

关键词:
糖尿病并发症 糖尿病并发症糖尿病酸性酸性标识 识别 识别 识别基水平 基水平机器学习是机器学习.模型模型模型模型模型预测模型的预测模型.第1类糖尿病患者.

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