Continuous glucose monitoring using machine learning models and IoT device data: A meta-analysis.
Journal:
Technology and health care : official journal of the European Society for Engineering and Medicine
PMID:
39269871
Abstract
BACKGROUND: Machine learning offers diverse options for effectively managing blood glucose levels in diabetes patients. Selecting the right ML algorithm is critical given the array of available choices. Integrating data from IoT devices presents promising opportunities to enhance real-time blood glucose management models.