European data-driven economy: A lighthouse initiative on Personalised Medicine

Horgan, Denis; Rom�ão, Mário; Torbett, Richard; Brand, Angela

doi:10.1016/j.hlpt.2014.10.007

Cited by 4 publications

(2 citation statements)

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“…When it comes to chronic diseases, this concern acquires an even higher relevance because the number of people suffering from it is increasing. Two of the main reasons of this increment include illnesses that were mortal in the past are now treated as chronic diseases [32] and the strong link between the rise of chronic diseases and the ageing population [33].…”

Section: Context-awareness In Chronic Diseasesmentioning

confidence: 99%

Context-aware solutions for asthma condition management: a survey

Quinde

Khan

Augusto

et al. 2018

Univ Access Inf Soc

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Section: Context-awareness In Chronic Diseasesmentioning

confidence: 99%

Context-aware solutions for asthma condition management: a survey

Quinde

Khan

Augusto

et al. 2018

Univ Access Inf Soc

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“…We also talk about new paradigms of participatory, personalized and preventive medicine, which will not only affect the practice of delivering individual healthcare (10,11), but it could also secure affordable and efficient healthcare across the globe (12,13). In this research we looked at the problem of addressing the management of chronic diseases, by developing software applications, which can personalize the support patients may need when living with chronic conditions (14,15,16). We are particularly interested in the management of diabetes, due to many initiatives of governments, which try to address its step rise across the world.…”

Section: Introductionmentioning

confidence: 99%

Software Architectures for Smart Applications in the Management of Chronic Diseases: A Study of Reversibility of Diabetes 2

Tarabi¹,

Juric

2018

Proceedings of the 51st Hawaii International Conference on System Sciences

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The paper proposes a software architecture for applications which use the reasoning upon SWRL enabled OWL ontologies and SQL like retrievals as core computational models. The application assists patients affected by diabetes 2, to personalize the reversibility of the condition through the diet and life style changes. The novelty is in (a) the deployment of SWRL enabled OWL ontologies in the management of data related to the personalisation of reversibility of diabetes 2 and in (b) the proposed software architecture, which contains and manipulates the SWRL enabled OWL ontology and SQL databases at the same time and transparently. The application, which has been implemented within the Java environment and NetBeans, is reusable in any other problem domain when the personalization of healthcare delivery is required. The proposed architecture also generates applications within Android environments without changing its style and the computational models.

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