Title: Event-Driven Architecture for Health Event Detection from Multiple Sources
Authors: DENECKE KerstinKIRCHNER GöranDOLOG PeterSMRZ PavelLINGE JensBACKFRIED GerhardDREESMAN Johannes
Citation: STUDIES IN HEALTH TECHNOLOGY AND INFORMATICS vol. 169 p. 160-164
Publisher: I O S PRESS
Publication Year: 2012
JRC N°: JRC73506
ISSN: 0926-9630
URI: http://booksonline.iospress.nl/Content/View.aspx?piid=20563
http://publications.jrc.ec.europa.eu/repository/handle/JRC73506
DOI: 10.3233/978-1-60750-806-9-160
Type: Articles in Journals
Abstract: Early detection of potential health threats is crucial for taking actions in time. It is unclear in which information source an event is reported first and, information from various sources can be complementing. Thus, it is important to search for information in a very broad range of sources. Furthermore, real-time processing is necessary to deal with the huge amounts of incoming data in time. Event-driven architectures are designed to address such challenges. This will be shown in this paper by presenting the architecture of a public health surveillance system that follows this style. Starting from concrete user requirements and scenarios, we introduce the architecture with its components for content collection, data analysis and integration. The system will allow for the monitoring of events in real-time as well as retrospectively.
JRC Institute:Institute for the Protection and Security of the Citizen

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