The Effectiveness of Wearable Devices Using Artificial Intelligence for Blood Glucose Level Forecasting or Prediction: Systematic Review

The Effectiveness of Wearable Devices Using Artificial Intelligence for Blood Glucose Level Forecasting or Prediction: Systematic Review

<h3>Background</h3><p dir="ltr">In 2021 alone, diabetes mellitus, a metabolic disorder primarily characterized by abnormally high blood glucose (BG) levels, affected 537 million people globally, and over 6 million deaths were reported. The use of noninvasive technologies,...

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Bibliographic Details
Main Author: Arfan Ahmed (17541309) (author)
Other Authors: Sarah Aziz (17541312) (author), Alaa Abd-alrazaq (17058018) (author), Faisal Farooq (13134579) (author), Mowafa Househ (9154124) (author), Javaid Sheikh (5534825) (author)
Published: 2023
Subjects:
Biomedical and clinical sciences
Medical biochemistry and metabolomics
Engineering
Biomedical engineering
Health sciences
Health services and systems
diabetes
artificial intelligence
wearable devices
machine learning
blood glucose
forecasting
prediction
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