The Development and Potential Applications of an Automated Method for Detecting and Classifying Continuous Glucose Monitoring Patterns.

Mansur Shomali¹, Shiping Liu², Abhimanyu Kumbara¹, Anand Iyer¹, Guodong Gordon Gao²

¹Welldoc, Inc., Columbia, MD, USA.

²Center for Health Information and Decision Systems, University of Maryland, College Park, MD, USA.

Abstract

INTRODUCTION: Continuous glucose monitoring (CGM) is emerging as a transformative tool for helping people with diabetes self-manage their glucose and supporting clinicians in effective treatment. Unfortunately, many CGM users, and clinicians, find interpreting the large volume of CGM data to be overwhelming and complex. To address this challenge, an efficient, intelligent method for detecting and…

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