Browsing Faculty Contributions by Subject "Blood glucose level"
Now showing items 1-2 of 2
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Estimating Blood Glucose Levels Using Machine Learning Models with Non-Invasive Wearable Device Data
( IOS Press BV , 2023 , Conference Paper)In 2019 alone, Diabetes Mellitus impacted 463 million individuals worldwide. Blood glucose levels (BGL) are often monitored via invasive techniques as part of routine protocols. Recently, AI-based approaches have shown the ... -
Performance of artificial intelligence models in estimating blood glucose level among diabetic patients using non-invasive wearable device data
( Elsevier , 2023 , Article)Introduction: Diabetes Mellitus (DM) is characterized by impaired ability to metabolize glucose for use in cells for energy, resulting in high blood sugar (hyperglycemia). DM impacted 463 million individuals worldwide in ...