This paper is in the following e-collection/theme issue:

Digital Health Reviews (1191) Machine Learning (1401) Artificial Intelligence (1216) Wearable Devices and Sensors (825) mHealth for Wellness, Behavior Change and Prevention (2754) Web-based and Mobile Health Interventions (3128) Mobile Health (mhealth) (2777)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/40259, first published .
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

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

Authors of this article:

Arfan Ahmed1 Author Orcid Image ;   Sarah Aziz1 Author Orcid Image ;   Alaa Abd-alrazaq1 Author Orcid Image ;   Faisal Farooq2 Author Orcid Image ;   Mowafa Househ3 Author Orcid Image ;   Javaid Sheikh1 Author Orcid Image
Article Authors Cited by (7) Tweetations (3) Metrics

Arfan Ahmed   1 , PhD ;   Sarah Aziz   1 , MSc ;   Alaa Abd-alrazaq   1 , PhD ;   Faisal Farooq   2 , PhD ;   Mowafa Househ   3 , PhD ;   Javaid Sheikh   1 , MD

1 AI Center for Precision Health, Weill Cornell Medicine-Qatar, Doha, Qatar

2 Qatar Computing Research Institute, Hamad Bin Khalifa University, Doha, Qatar

3 College of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar

Corresponding Author: