A data driven nonlinear stochastic model for blood glucose dynamics
- Submitting institution
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The University of Warwick
- Unit of assessment
- 12 - Engineering
- Output identifier
- 7982
- Type
- D - Journal article
- DOI
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10.1016/j.cmpb.2015.10.021
- Title of journal
- Computer Methods and Programs in Biomedicine
- Article number
- -
- First page
- 18
- Volume
- 125
- Issue
- -
- ISSN
- 0169-2607
- Open access status
- Out of scope for open access requirements
- Month of publication
- November
- Year of publication
- 2015
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
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2
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Novel mathematical framework with a model of minimal complexity explains the complex response of blood glucose to food in normoglycaemia and diabetes. The framework meets the need to personalise diabetes management and its earlier diagnosis. The study secured Discipline Hopping Fellowship from EPSRC (2020, EP/T013648/1) in collaboration with UHCW. The fellowship has now expanded to a 5-years trial with an NHS Trust (2021-2026, UHCW) for early detection of gestational diabetes in order to avoid adverse pregnancy outcomes for both the mother and her offspring. The research has also secured funding from NHS for two PhD studentships.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -