DUGiDocsA novel, adaptive decision support system for diabetes self-management using artificial intelligence and mathematical modelling [Pòster]
dc.contributor.author
dc.date.accessioned
2020-02-11T06:53:47Z
dc.date.available
2020-02-11T06:53:47Z
dc.date.issued
2019-03-21
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dc.description
Pòster de congrés presentat a: ICT 2018: Imagine Digital - Connect Europe (4-6 Desembre: Viena, Austria)
dc.description.abstract
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
dc.description.sponsorship
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement 689810
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application/pdf
dc.language.iso
eng
dc.publisher
PEPPER (Patient Empowerment through Predictive PERsonalised decision support)
dc.relation.ispartofseries
Contribucions a Congressos (D-EEEiA)
dc.rights
Reconeixement 4.0 Internacional
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dc.subject
dc.title
A novel, adaptive decision support system for diabetes self-management using artificial intelligence and mathematical modelling [Pòster]
dc.type
info:eu-repo/semantics/conferenceObject
dc.rights.accessRights
info:eu-repo/semantics/openAccess
dc.relation.projectID
info:eu-repo/grantAgreement/EC/H2020/689810/EU/Patient Empowerment through Predictive PERsonalised decision support/PEPPER
dc.type.version
info:eu-repo/semantics/publishedVersion
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dc.relation.FundingProgramme
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