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在1型糖尿病管理中的血糖波动模式识别模式中的基于机器学习的时间:开发和验证研究研究.

Nicholas Berin Chan1, Weizi Li1, Theingi Aung2

  • 1Informatics Research Centre, Henley Business School, University of Reading, Reading, United Kingdom.

JMIR AI
|June 14, 2024
PubMed
概括

这项研究引入了一种新的机器学习方法来分析持续血糖监测 (CGM) 数据,识别出不同的血糖波动模式,以更好地管理糖尿病. 这种方法为临床医生提供了对血糖变化 (GV) 和患者群体的更详细的见解.

关键词:
不断监测葡萄糖的情况.在糖尿病中,糖尿病是血糖类的.葡萄糖的波动模式的波动模式血糖的变异性 血糖的变异性可扩展的指标可扩展的指标时间聚类时间聚类.

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