Published February 15, 2017
| Version v1
Poster
Open
Personalised Clinical Decision Support For Diabetes Management Using Real-time Data
Creators
- Martin, Clare1
- Aldea, Arantza1
- Brown, Daniel1
- Fernández-Real, Jose Manuel2
- Gay, Pablo3
- Georgiou, Pantelis4
- Harrison, R.1
- Herrero, Pau4
- Innocenti, Bianca3
- López, Beatriz3
- Leal, Yenny2
- Nita, Lucian5
- Pesl, Peter4
- Petite, Roberto3
- Reddy, Monika4
- Torrent-Fontbona, Ferran3
- Waite, Marion1
- Wos, Marzena2
- Oliver, Nicholas4
- Shapley, Julian6
- 1. Oxford Brookes University
- 2. Institut d'Investigació Biomèdica de Girona Dr. Josep Trueta
- 3. University of Girona
- 4. Imperial College London
- 5. RomSoft SRL
- 6. Cellnovo
Description
PEPPER (Patient Empowerment through Predictive PERsonalised decision support) is an EU-funded research project to develop a personalised clinical decision support system for Type 1 diabetes self-management. The tool provides insulin bolus dose advice and carbohydrate recommendations, tailored to the needs of individuals. The former is determined by Case-Based Reasoning (CBR), an artificial intelligence technique that adapts to new situations according to past experience. The latter uses a predictive computer model that also promotes safety by providing glucose alarms, low-glucose insulin suspension and fault detection.
Files
ATTD2017_PEPPER.pdf
Files
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