2026-04-13T18:33:26Zhttps://recercat.cat/oai/requestoai:recercat.cat:10256/177092024-06-13T09:51:24Zcom_2072_453036com_2072_2054col_2072_453038
RECERCAT
author
PEPPER (Patient Empowerment through Predictive PERsonalised decision support)
author
Oxford Brookes University
author
Imperial college London
author
Universitat de Girona
author
Institut d’Investigació Biomèdica de Girona (IdIBGi)
2024-06-13T09:51:24Z
2024-06-13T09:51:24Z
2019-03-21
http://hdl.handle.net/10256/17709
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 detectionThis project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement 689810
Reconeixement 4.0 Internacional http://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess
Raonament basat en casos -- Congressos
Case-based reasoning -- Congresses
Diabetis -- Congressos
Diabetes -- Congresses
Intel·ligència artificial -- Aplicacions a la medicina -- Congressos
Artificial intelligence -- Medical applications -- Congresses
Sistemes d'ajuda a la decisió -- Congressos
Decision support systems -- Congresses
A novel, adaptive decision support system for diabetes self-management using artificial intelligence and mathematical modelling [Pòster]
info:eu-repo/semantics/conferenceObject info:eu-repo/semantics/publishedVersion