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

Clinical Information and Decision Making (12) Digital Biomarkers and Digital Phenotyping (155) Glucose Tracking and Self-Monitoring of Blood Glucose (141) Artificial Intelligence (922) Development and Evaluation of Research Methods, Instruments and Tools (293) Diabetes Self-Management (417)

Published on in Vol 2 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/45450, first published .
Machine Learning–Based Time in Patterns for Blood Glucose Fluctuation Pattern Recognition in Type 1 Diabetes Management: Development and Validation Study

Machine Learning–Based Time in Patterns for Blood Glucose Fluctuation Pattern Recognition in Type 1 Diabetes Management: Development and Validation Study

Machine Learning–Based Time in Patterns for Blood Glucose Fluctuation Pattern Recognition in Type 1 Diabetes Management: Development and Validation Study

Authors of this article:

Nicholas Berin Chan 1 Author Orcid Image ;   Weizi Li 1 Author Orcid Image ;   Theingi Aung 2 Author Orcid Image ;   Eghosa Bazuaye 2 Author Orcid Image ;   Rosa M Montero 3 Author Orcid Image
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