摘要
一位新闻记者兼机器人与机器学习的工作人员新闻编辑每日新闻-营养和代谢疾病和条件的新研究-糖尿病管理是一项研究的主题。根据来自英国雷丁的Ne wsRx记者的新闻报道，研究表明，"Diab Etes的连续葡萄糖监测(CGM)结合了非侵入性葡萄糖生物传感器、连续监测、云探测和分析，以连接和模拟人的HOM E.CGM系统启发的分析方法来测量血糖变异性(GV)，但现有的GV分析方法忽略了葡萄糖趋势和模式；因此。它们不能捕捉到整个时间模式，也不能提供关于葡萄糖波动的粒状信息。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Nutritional and Metabo lic Diseases and Conditions - Diabetes Mellitus Management is the subject of a r eport. According to news reporting originating in Reading, United Kingdom, by Ne wsRx journalists, research stated, “Continuous glucose monitoring (CGM) for diab etes combines noninvasive glucose biosensors, continuous monitoring, cloud compu ting, and analytics to connect and simulate a hospital setting in a person’s hom e. CGM systems inspired analytics methods to measure glycemic variability (GV), but existing GV analytics methods disregard glucose trends and patterns; hence, they fail to capture entire temporal patterns and do not provide granular insigh ts about glucose fluctuations.”
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