Published on in Vol 2 (2023)
![Assessing Elevated Blood Glucose Levels Through Blood Glucose Evaluation and Monitoring Using Machine Learning and Wearable Photoplethysmography Sensors: Algorithm Development and Validation Assessing Elevated Blood Glucose Levels Through Blood Glucose Evaluation and Monitoring Using Machine Learning and Wearable Photoplethysmography Sensors: Algorithm Development and Validation](https://asset.jmir.pub/assets/701f353e52cde8bdcc1e42f3c0e32cd0.png 480w,https://asset.jmir.pub/assets/701f353e52cde8bdcc1e42f3c0e32cd0.png 960w,https://asset.jmir.pub/assets/701f353e52cde8bdcc1e42f3c0e32cd0.png 1920w,https://asset.jmir.pub/assets/701f353e52cde8bdcc1e42f3c0e32cd0.png 2500w)
1 Actxa Pte Ltd, Singapore, Singapore
2 Activate Interactive Pte Ltd, Singapore, Singapore
3 Curtin Health Innovation Research Institute, Curtin University, Perth, Australia
4 Faculty of Health Sciences, Curtin University, Perth, Australia
5 Duke-NUS Graduate Medical School, National University of Singapore, Singapore, Singapore
6 KK Women’s and Children’s Hospital, Singapore, Singapore
7 Innovation and Design Programme, Faculty of Engineering, National University of Singapore, Singapore, Singapore
8 Department of Electrical and Computer Engineering, National University of Singapore, Singapore, Singapore
9 Family Medicine Academic Clinical Program, Duke-NUS Medical School, Singapore, Singapore
10 Menopause Unit, KK Women’s and Children’s Hospital, Singapore, Singapore