Lifelogging data validation model for internet of things enabled personalized healthcare
- Submitting institution
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University of Strathclyde
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 92980592
- Type
- D - Journal article
- DOI
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10.1109/TSMC.2016.2586075
- Title of journal
- IEEE Transactions on Systems, Man and, Cybernetics: Systems
- Article number
- -
- First page
- 50
- Volume
- 48
- Issue
- 1
- ISSN
- 2168-2216
- Open access status
- Other exception
- Month of publication
- July
- Year of publication
- 2016
- 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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8
- Research group(s)
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-
- Citation count
- 66
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This research led to three follow up grants funded by Horizon2020 (IManageCancer, £4m inc. £600k to UoS), Diabetes UK (A tailored intervention to reduce sitting behaviour in people with Type 2 Diabetes: £137,510) and Innovate UK (Aquaculture, £223,209), with over 10 post-doctoral positions and one completed PhD student. The authors have been invited to speak and demonstrate the work at many public events. The technologies were also served as the backbone to support clinical validations for diabetes patients in Cambridgeshire, cancer patients in European Institute of Oncology and eye patients in the Moorfields Eye Hospital.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -