A novel way to represent weekly blood sugar data to increase user understanding and control

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Publication Details

Journal
Computer Methods in Biomechanics & Biomedical Engineering
Published
2026-03-28
DOI
https://doi.org/10.1080/10255842.2026.2645166
Primary Topic
Data-Driven Disease Surveillance
Type
article
Field-Weighted Citation Impact
0.00
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article

A novel way to represent weekly blood sugar data to increase user understanding and control

Matthew J. Lee, Peter Kyberd, Alix Chadwell, Farooq Othman Farooq Al Safi
Computer Methods in Biomechanics & Biomedical Engineering
Data-Driven Disease Surveillance
article

A novel way to represent weekly blood sugar data to increase user understanding and control

Matthew J. Lee, Peter Kyberd, Alix Chadwell, Farooq Othman Farooq Al Safi
article en

Abstract

No abstract available for this paper.
Computer Methods in Biomechanics & Biomedical Engineering
Intelligent Systems Research (United States) (US), Intelligent Health (United Kingdom) (GB), Department of Energy and Environment (US), University College London (GB), University of Salford (GB)
Zero hunger
Openalex Percentile: Top 4%
Data-Driven Disease Surveillance
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