2026-04-14T03:11:22Zhttps://recercat.cat/oai/request

oai:recercat.cat:10256/177092024-06-13T09:51:24Zcom_2072_453036com_2072_2054col_2072_453038

00925njm 22002777a 4500 dc 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) author 2019-03-21 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 http://hdl.handle.net/10256/17709 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]