A novel, adaptive decision support system for diabetes self-management using artificial intelligence and mathematical modelling [Pòster]

Author

PEPPER (Patient Empowerment through Predictive PERsonalised decision support)

Oxford Brookes University

Imperial college London

Universitat de Girona

Institut d’Investigació Biomèdica de Girona (IdIBGi)

Publication date

2019-03-21



Abstract

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

Document Type

Object of conference
Published version

Language

English

Subjects and keywords

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

Publisher

PEPPER (Patient Empowerment through Predictive PERsonalised decision support)

Related items

info:eu-repo/semantics/altIdentifier/doi/10.5281/zenodo.2600776

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

Rights

Reconeixement 4.0 Internacional

http://creativecommons.org/licenses/by/4.0