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               <dc:title>A novel, adaptive decision support system for diabetes self-management using artificial intelligence and mathematical modelling [Pòster]</dc:title>
               <dc:creator>PEPPER (Patient Empowerment through Predictive PERsonalised decision support)</dc:creator>
               <dc:creator>Oxford Brookes University</dc:creator>
               <dc:creator>Imperial college London</dc:creator>
               <dc:creator>Universitat de Girona</dc:creator>
               <dc:creator>Institut d’Investigació Biomèdica de Girona (IdIBGi)</dc:creator>
               <dc:subject>Raonament basat en casos -- Congressos</dc:subject>
               <dc:subject>Case-based reasoning -- Congresses</dc:subject>
               <dc:subject>Diabetis -- Congressos</dc:subject>
               <dc:subject>Diabetes -- Congresses</dc:subject>
               <dc:subject>Intel·ligència artificial -- Aplicacions a la medicina -- Congressos</dc:subject>
               <dc:subject>Artificial intelligence -- Medical applications -- Congresses</dc:subject>
               <dc:subject>Sistemes d'ajuda a la decisió -- Congressos</dc:subject>
               <dc:subject>Decision support systems -- Congresses</dc:subject>
               <dc:description>Pòster de congrés presentat a: ICT 2018: Imagine Digital - Connect Europe (4-6 Desembre: Viena, Austria)</dc:description>
               <dc:description>PEPPER (Patient Empowerment through Predictive&#xd;
PERsonalised decision support) is a research and&#xd;
innovation project to develop a personalised&#xd;
clinical decision support system for Type 1 diabetes&#xd;
self-management. The tool provides insulin bolus&#xd;
dose advice and carbohydrate recommendations,&#xd;
tailored to the needs of individuals. The former is&#xd;
determined by Case-Based Reasoning (CBR, Fig.&#xd;
1), an artificial intelligence technique that adapts to&#xd;
new situations according to past experience. The&#xd;
latter uses a model-based approach (Fig. 2) that&#xd;
also promotes safety by providing glucose alarms,&#xd;
low-glucose insulin suspension and fault detection</dc:description>
               <dc:description>This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement 689810</dc:description>
               <dc:date>2024-06-13T09:51:24Z</dc:date>
               <dc:date>2024-06-13T09:51:24Z</dc:date>
               <dc:date>2019-03-21</dc:date>
               <dc:type>info:eu-repo/semantics/conferenceObject</dc:type>
               <dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
               <dc:identifier>http://hdl.handle.net/10256/17709</dc:identifier>
               <dc:relation>info:eu-repo/semantics/altIdentifier/doi/10.5281/zenodo.2600776</dc:relation>
               <dc:relation>info:eu-repo/grantAgreement/EC/H2020/689810/EU/Patient Empowerment through Predictive PERsonalised decision support/PEPPER</dc:relation>
               <dc:rights>Reconeixement 4.0 Internacional</dc:rights>
               <dc:rights>http://creativecommons.org/licenses/by/4.0</dc:rights>
               <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
               <dc:publisher>PEPPER (Patient Empowerment through Predictive PERsonalised decision support)</dc:publisher>
               <dc:source>Contribucions a Congressos (D-EEEiA)</dc:source>
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