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Application of Usability Engineering to the Development of a Personalised Decision Support System for Type 1 Diabetes Self-Management

Authors: Martin, Clare; Aldea, Arantza; Alshaigy, B.; Avari, Parizad; Duce, D.; Fernández-Balsells, Mercè; Fernández-Real Lemos, José Manuel; +12 Authors

Application of Usability Engineering to the Development of a Personalised Decision Support System for Type 1 Diabetes Self-Management

Abstract

PEPPER (Patient Empowerment through Predictive PERsonalised decision support) is an EU-funded research project which aims to improve the self-management behaviour of adults with type 1 diabetes (T1D). Human factors and ergonomics play a key role in the development of this system

Pòster de congrés presentat a: International Conference on Advanced Technologies & Treatments for Diabetes (ATTD) (12th: 20-23 Febrer 2019: Berlin)

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement 689810

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Spain
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Keywords

Diabetis, Case-based reasoning -- Congresses, Intel·ligència artificial -- Aplicacions a la medicina -- Congressos, Diabetes, Diabetes -- Congresses, Artificial intelligence -- Medical applications -- Congresses, Decision support systems, Case-based reasoning, Sistemes d'ajuda a la decisió, Raonament basat en casos -- Congressos, Sistemes d'ajuda a la decisió -- Congressos, Raonament basat en casos, Intel·ligència artificial -- Aplicacions a la medicina, Decision support systems -- Congresses, Artificial intelligence -- Medical applications, Diabetis -- Congressos

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
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