Personalised Clinical Decision Support For Diabetes Management Using Real-time Data [Pòster]

Abstract

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

Document Type

Object of conference


Published version

Language

English

Publisher

PEPPER (Patient Empowerment through Predictive PERsonalised decision support)

Related items

info:eu-repo/semantics/altIdentifier/doi/10.5281/zenodo.820449

info:eu-repo/grantAgreement/EC/H2020/689810/EU/Patient Empowerment through Predictive PERsonalised decision support/PEPPER

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