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

Artificial Intelligence (122) Machine Learning (1400) Artificial Intelligence in Diabetes Care and Prevention (23)

Published on in Vol 2 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/48340, first published .
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

Assessing Elevated Blood Glucose Levels Through Blood Glucose Evaluation and Monitoring Using Machine Learning and Wearable Photoplethysmography Sensors: Algorithm Development and Validation

Authors of this article:

Bohan Shi1, 2 Author Orcid Image ;   Satvinder Singh Dhaliwal3, 4, 5 Author Orcid Image ;   Marcus Soo1 Author Orcid Image ;   Cheri Chan6 Author Orcid Image ;   Jocelin Wong1 Author Orcid Image ;   Natalie W C Lam2 Author Orcid Image ;   Entong Zhou2 Author Orcid Image ;   Vivien Paitimusa2 Author Orcid Image ;   Kum Yin Loke2 Author Orcid Image ;   Joel Chin2 Author Orcid Image ;   Mei Tuan Chua6 Author Orcid Image ;   Kathy Chiew Suan Liaw6 Author Orcid Image ;   Amos W H Lim1 Author Orcid Image ;   Fadil Fatin Insyirah6 Author Orcid Image ;   Shih-Cheng Yen7 Author Orcid Image ;   Arthur Tay8 Author Orcid Image ;   Seng Bin Ang9, 10 Author Orcid Image
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