Ítem
PEPPER (Patient Empowerment through Predictive PERsonalised decision support)
Oxford Brookes University Imperial college London Universitat de Girona Institut d’Investigació Biomèdica de Girona (IdIBGi) |
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15 febrer 2020 | |
Pòster de congrés presentat a: ICT 2018: Imagine Digital - Connect Europe (4-6 Desembre: Viena, Austria) PEPPER (Patient Empowerment through Predictive PERsonalised decision support) is a research and innovation 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, Fig. 1), an artificial intelligence technique that adapts to new situations according to past experience. The latter uses a model-based approach (Fig. 2) that also promotes safety by providing glucose alarms, low-glucose insulin suspension and fault detection This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement 689810 |
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http://hdl.handle.net/2072/372521 | |
eng | |
PEPPER (Patient Empowerment through Predictive PERsonalised decision support) | |
Reconeixement 4.0 Internacional | |
http://creativecommons.org/licenses/by/4.0 | |
Raonament basat en casos
Case-based reasoning Diabetis Diabetes Intel·ligència artificial -- Aplicacions a la medicina Artificial intelligence -- Medical applications Sistemes d’ajuda a la decisió Decision support systems |
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A novel, adaptive decision support system for diabetes self-management using artificial intelligence and mathematical modelling [Pòster] | |
info:eu-repo/semantics/conferenceObject | |
Recercat |