,1尿""

Antonio J Rodriguez-Almeida1, Guillermo V Socorro-Marrero1, Carmelo Betancort2

  • 1Institute for Applied Microelectronics, University of Las Palmas de Gran Canaria, ULPGC, Las Palmas de Gran Canaria, Spain.

PubMed
概括

这项研究引入了一个DIY (DIY) 深度学习 (DL) 框架,用于1型糖尿病 (T1D) 管理中的个性化葡萄糖预测. 该系统使用持续葡萄糖监测 (CGM) 数据实现了最先进的准确性,用于短期预测.

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