Advanced insulin bolus advisor based on run-to-run control and case-based reasoning
- Submitting institution
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Imperial College of Science, Technology and Medicine
- Unit of assessment
- 12 - Engineering
- Output identifier
- 4645
- Type
- D - Journal article
- DOI
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10.1109/JBHI.2014.2331896
- Title of journal
- IEEE Journal of Biomedical and Health Informatics
- Article number
- 3
- First page
- 1087
- Volume
- 19
- Issue
- 3
- ISSN
- 2168-2194
- Open access status
- Out of scope for open access requirements
- Month of publication
- June
- Year of publication
- 2014
- 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
- No
- Number of additional authors
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5
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This reports an algorithm providing clinical decision support for people with type 1 diabetes when calculating insulin doses, using control engineering and artificial intelligence to achieve the personalisation needed for optimal blood glucose control. The work has attracted significant follow-on funding for its clinical validation (MRC, £67k) and translation into a practical application (H2020, #689810, €1.2m), and has been licensed to a MedTech company (Dexcom, USA, contact: FoEREF@ic.ac.uk). It has been presented in invited lectures at the Scientific Sessions of the American Diabetes Association and the Advanced Technologies & Treatments for Diabetes conference.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -