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Global Initiative for Sentinel e-Health Network on Grid (GINSENG): Medical Data Integration and Semantic Developments for Epidemiology

S. Cipiere 1 G. Ereteo A. Gaignard 2 N. Boujelben S. Gaspard 3 Vincent Breton 1 F. Cervenansky 4 David R.C. Hill 1 T. Glatard 5 D. Manset 3 Johan Montagnat 2 Jérôme Revillard 3 L. Maigne 1
2 Laboratoire d'Informatique, Signaux, et Systèmes de Sophia-Antipolis (I3S) / Equipe MODALIS
Laboratoire I3S - SPARKS - Scalable and Pervasive softwARe and Knowledge Systems
4 Service Informatique et développements
CREATIS - Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé
5 Images et Modèles
CREATIS - Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé
Abstract : The implementation of a grid network to support large-scale epidemiology analysis (based on distributed medical data sources) and medical data sharing require medical data integration and semantic alignment. In this paper, we present the GINSENG (Global Initiative for Sentinel e-Health Network on Grid) network that federates existing Electronic Health Records through a rich metamodel (FedEHR), a semantic data model (SemEHR) and distributed query toolkits. A query interface based on the VIP platform, and available through the e-ginseng.org web portal helps medical end-users in the design of epidemiological studies and the retrieval of relevant medical data sets.
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https://hal.archives-ouvertes.fr/hal-01048737
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Submitted on : Tuesday, March 2, 2021 - 4:27:36 PM
Last modification on : Monday, June 7, 2021 - 1:18:01 PM
Long-term archiving on: : Monday, May 31, 2021 - 7:31:39 PM

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S. Cipiere, G. Ereteo, A. Gaignard, N. Boujelben, S. Gaspard, et al.. Global Initiative for Sentinel e-Health Network on Grid (GINSENG): Medical Data Integration and Semantic Developments for Epidemiology. Workshop on Clusters, Clouds and Grids for Health 2014, May 2014, Chicago, United States. pp.755-763, ⟨10.1109/CCGrid.2014.45⟩. ⟨hal-01048737⟩

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