2026-04-14T03:22:49Zhttps://recercat.cat/oai/request

oai:recercat.cat:10256/177072024-06-13T09:51:22Zcom_2072_453036com_2072_2054col_2072_453038

00925njm 22002777a 4500 dc Martin, Clare author Aldea, Arantza author Brown, Daniel author Duce, David author Fernández-Real Lemos, José Manuel author Gay Sacristán, Pablo author Georgiou, Pantelis author Harrison, R. author Herrero i Viñas, Pau author Innocenti, Bianca author López Ibáñez, Beatriz author Leal Moncada, Yenny Teresa author Nita, Lucian author Pesl, Peter author Petite, Roberto author Reddy, Monika author Shapley, Julian author Torrent-Fontbona, Ferran author Waite, Marion author Wos, Marzena author Oliver, Nick author 2017 Pòster de congrés presentat a: International Conference on Advanced Technologies & Treatments for Diabetes (ATTD) (10th: 15-18 Febrer 2017: Berlin) 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 This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement 689810 http://hdl.handle.net/10256/17707 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 Personalised Clinical Decision Support For Diabetes Management Using Real-time Data [Pòster]