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

Glucose Tracking and Self-Monitoring of Blood Glucose (200) Diabetes Health Services and System Innovations (141) Diabetes Technology Around the World (32) Sensors for Glucose Monitoring and Diabetes Management (48) Machine Learning (2052)

Published on in Vol 10 (2025)

This is a member publication of University of Manchester (Jisc)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/68821, first published .
Coefficient of Variation to Assess the Reproducibility of Meal-Induced Glycemic Responses: Development of a Clustering Algorithm

Coefficient of Variation to Assess the Reproducibility of Meal-Induced Glycemic Responses: Development of a Clustering Algorithm

Coefficient of Variation to Assess the Reproducibility of Meal-Induced Glycemic Responses: Development of a Clustering Algorithm

Authors of this article:

Nicole Lubasinski1 Author Orcid Image ;   Hood Thabit1, 2, 3 Author Orcid Image ;   Paul W Nutter1 Author Orcid Image ;   David Petrescu1 Author Orcid Image ;   Simon Harper1 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Nicole Lubasinski   1 , MSc ;   Hood Thabit   1, 2, 3 , MD, PhD ;   Paul W Nutter   1 , PhD ;   David Petrescu   1 , PhD ;   Simon Harper   1 , PhD

1 Department of Computer Science, The University of Manchester, Manchester, United Kingdom

2 Diabetes, Endocrine and Metabolism Centre, Manchester Royal Infirmary, Manchester, United Kingdom

3 Division of Diabetes, Endocrinology and Gastroenterology, School of Medical Science, The University of Manchester, Manchester, United Kingdom

Corresponding Author: