An Architecture for Semantic Navigation and Reasoning with Patient Data - Experiences of the Health-e-Child Project

Hauer, Tamás; Rogulin, Dmitry; Zillner, Sonja; Branson, Andrew; Shamdasani, Jetendr; Tsymbal, Alexey; Huber, Martin; Solomonides, Tony; McClatchey, Richard

doi:10.1007/978-3-540-88564-1_47

Cited by 11 publications

(8 citation statements)

References 23 publications

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“…TOF ontologies are mainly aimed at modeling heart anatomy for simulation purposes [ 54 ]. BT ontologies are aimed at classifying tumors for prognosis purposes [ 55 , 56 ]. Finally JIA ontologies are aimed at better classifying patient groups for diagnosis and treatment purposes [ 21 ].…”

Section: Methodsmentioning

confidence: 99%

Reuse of terminological resources for efficient ontological engineering in Life Sciences

et al. 2009

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This paper is intended to explore how to use terminological resources for ontology engineering. Nowadays there are several biomedical ontologies describing overlapping domains, but there is not a clear correspondence between the concepts that are supposed to be equivalent or just similar. These resources are quite precious but their integration and further development are expensive. Terminologies may support the ontological development in several stages of the lifecycle of the ontology; e.g. ontology integration. In this paper we investigate the use of terminological resources during the ontology lifecycle. We claim that the proper creation and use of a shared thesaurus is a cornerstone for the successful application of the Semantic Web technology within life sciences. Moreover, we have applied our approach to a real scenario, the Health-e-Child (HeC) project, and we have evaluated the impact of filtering and re-organizing several resources. As a result, we have created a reference thesaurus for this project, named HeCTh.

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Section: Methodsmentioning

confidence: 99%

Reuse of terminological resources for efficient ontological engineering in Life Sciences

et al. 2009

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“…Therefore, we propose the use of specific application oriented fragments for reasoning as an alternative to reasoning with the whole ontology. An example of application that is demanding manageable ontology fragments for reasoning can be found in [12].…”

Section: Applicationsmentioning

confidence: 99%

Efficient retrieval of ontology fragments using an interval labeling scheme

Nebot

Berlanga

2009

Information Sciences

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“…The project built a Grid-enabled european network of leading clinical centres that can share and annotate paediatric data, can validate systems clinically, and diffuse clinical excellence across Europe by setting up new technologies, clinical workflows, and standards. Its work has been published in a number of journals and at several international conferences ( [2], [3], [4]).…”

Section: Figure 1: the Overall Concept Of Health-e-childmentioning

confidence: 99%

Data Management Challenges in Paediatric Information Systems

McClatchey

2014

From Physics to Daily Life

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There is a compelling demand for the data integration and exploitation of heterogeneous biomedical information for improved clinical practice, medical research, and personalised healthcare across the EU. The area of paediatric information integration is particularly challenging since the patient's physiology changes with growth and different aspects of health being regularly monitored over extended periods of time. Paediatricians require access to heterogeneous data sets, often collected in different locations with different apparatus and over extended timescales. Using a Grid platform originally developed for physics at CERN and a novel integrated semantic data model the Health-e-Child project has developed an integrated healthcare platform for European paediatrics, providing seamless integration of traditional and emerging sources of biomedical data. The long-term goal of the project was to provide uninhibited access to universal biomedical knowledge repositories for personalised and preventive healthcare, large-scale information-based biomedical research and training, and informed policy making. The project built a Grid-enabled european network of leading clinical centres that can share and annotate paediatric data, can validate systems clinically, and diffuse clinical excellence across Europe by setting up new technologies, clinical workflows, and standards. The Health-e-Child project highlights data management challenges for the future of European paediatric healthcare and is the subject of this chapter.

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An Architecture for Semantic Navigation and Reasoning with Patient Data - Experiences of the Health-e-Child Project

Cited by 11 publications

References 23 publications

Reuse of terminological resources for efficient ontological engineering in Life Sciences

Reuse of terminological resources for efficient ontological engineering in Life Sciences

Efficient retrieval of ontology fragments using an interval labeling scheme

Data Management Challenges in Paediatric Information Systems

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