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

Glucose Tracking and Self-Monitoring of Blood Glucose (201) Diabetes Self-Management (585) Ontologies, Classifications, and Coding (323) Tools, Programs and Algorithms (376) Precision Medicine (155)

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/72769, first published .
Toward a Personalized Basal Tuner for Detecting Basal Rate Inaccuracies in Type 1 Diabetes Mellitus Without Meal Data: Algorithm Development and Retrospective Validation Study

Toward a Personalized Basal Tuner for Detecting Basal Rate Inaccuracies in Type 1 Diabetes Mellitus Without Meal Data: Algorithm Development and Retrospective Validation Study

Toward a Personalized Basal Tuner for Detecting Basal Rate Inaccuracies in Type 1 Diabetes Mellitus Without Meal Data: Algorithm Development and Retrospective Validation Study

Authors of this article:

Daniel Gasca Garcia1 Author Orcid Image ;   Hood Thabit2, 3 Author Orcid Image ;   Paul W Nutter1 Author Orcid Image ;   Simon Harper1 Author Orcid Image
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Daniel Gasca Garcia   1 * , MSc, BSc ;   Hood Thabit   2, 3 * , PhD ;   Paul W Nutter   1 * , PhD ;   Simon Harper   1 * , PhD

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

2 Division of Diabetes, Endocrinology and Gastroenterology, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, United Kingdom

3 Diabetes, Endocrine & Metabolism Centre, Manchester Royal Infirmary, Manchester University NHS Foundation Trust, Manchester, United Kingdom

*all authors contributed equally

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