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

Foundations of AI (56) Artificial Intelligence (1958) Applications of AI (229)

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 Chan1 Author Orcid Image ;   Weizi Li1 Author Orcid Image ;   Theingi Aung2 Author Orcid Image ;   Eghosa Bazuaye2 Author Orcid Image ;   Rosa M Montero3 Author Orcid Image
Article Authors Cited by (3) Tweetations (2) Metrics

Journals

  1. Klonoff D, Bergenstal R, Cengiz E, Clements M, Espes D, Espinoza J, Kerr D, Kovatchev B, Maahs D, Mader J, Mathioudakis N, Metwally A, Shah S, Sheng B, Snyder M, Umpierrez G, Shao M, Scheideman A, Ayers A, Ho C, Healey E. CGM Data Analysis 2.0: Functional Data Pattern Recognition and Artificial Intelligence Applications. Journal of Diabetes Science and Technology 2025 View

Books/Policy Documents

  1. Goel J, Gupta S, Vijarania M, Vijarania P. AI-Driven Personalized Healthcare Solutions. View

Conference Proceedings

  1. Kladov D, Semenova J, Berikov V, Klimontov V. 2024 IEEE International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON). Clusters of Nocturnal Glucose Dynamics in Patients with Type 1 Diabetes Managed by Continuous Subcutaneous Insulin Infusion View