1003-P: A New Machine-Learning Model and Expanded Dataset for a Noninvasive BGM

Introduction: Continuous glucose monitoring (CGM) is essential in diabetes management, but global adoption is hindered due to economic costs and discomfort. A non-invasive, cost-effective, and accurate CGM would support the patient population and increase adoption. This study evaluates the accuracy...

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Veröffentlicht in:	Diabetes (New York, N.Y.) N.Y.), 2024-06, Vol.73, p.1
Hauptverfasser:	Klyve, Dominic, Anderson, James H, Currie, Kaptain, Bui, Connor, Karim, Fazle, Somers, Virend K
Format:	Artikel
Sprache:	eng
Schlagworte:	Datasets Diabetes Diabetes mellitus (non-insulin dependent) Disease management Glucose Glucose monitoring Glucose tolerance Learning algorithms Machine learning Population studies Sensors
Online-Zugang:	Volltext
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