Conference paper

DENECKE Kerstin, KIRCHNER Göran, DOLOG Peter, SMRŽ Pavel, LINGE Jens, BACKFRIED Gerhard and DREESMAN Johannes. Event-Driven Architecture for Health Event Detection from Multiple Sources. In: Proceedings of the XXIII International Conference of the European Federation for Medical Informatics (MIE 2011). Oslo: IOS Press, 2011, pp. 160-164. ISBN 978-1-60750-805-2.
Publication language:english
Original title:Event-Driven Architecture for Health Event Detection from Multiple Sources
Title (cs):Architektura pro identifikaci epidemiologických událostí z mnoha zdrojů
Pages:160-164
Proceedings:Proceedings of the XXIII International Conference of the European Federation for Medical Informatics (MIE 2011)
Conference:XXIII International Conference of the European Federation for Medical Informatics
Place:Oslo, NO
Year:2011
ISBN:978-1-60750-805-2
Publisher:IOS Press
Keywords
Epidemic Intelligence, Text Mining, Disease Surveillance, Event driven
architecture
Annotation
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.
BibTeX:
@INPROCEEDINGS{
   author = {Kerstin Denecke and G{\"{o}}ran Kirchner and Peter Dolog and
	Pavel Smr{\v{z}} and Jens Linge and Gerhard Backfried and
	Johannes Dreesman},
   title = {Event-Driven Architecture for Health Event Detection from
	Multiple Sources},
   pages = {160--164},
   booktitle = {Proceedings of the XXIII International Conference of the
	European Federation for Medical Informatics (MIE 2011)},
   year = {2011},
   location = {Oslo, NO},
   publisher = {IOS Press},
   ISBN = {978-1-60750-805-2},
   language = {english},
   url = {http://www.fit.vutbr.cz/research/view_pub.php?id=9614}
}

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