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  • 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.
  • 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. (en)
Title
  • Event-Driven Architecture for Health Event Detection from Multiple Sources
  • Event-Driven Architecture for Health Event Detection from Multiple Sources (en)
skos:prefLabel
  • Event-Driven Architecture for Health Event Detection from Multiple Sources
  • Event-Driven Architecture for Health Event Detection from Multiple Sources (en)
skos:notation
  • RIV/00216305:26230/11:PU96053!RIV12-MSM-26230___
http://linked.open...avai/predkladatel
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(7E10054), S, Z(MSM0021630528)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 198437
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26230/11:PU96053
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Epidemic Intelligence, Text Mining, Disease Surveillance, Event driven architecture (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [4DB08ED6F7E3]
http://linked.open...v/mistoKonaniAkce
  • Oslo
http://linked.open...i/riv/mistoVydani
  • Oslo
http://linked.open...i/riv/nazevZdroje
  • Proceedings of the XXIII International Conference of the European Federation for Medical Informatics (MIE 2011)
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Smrž, Pavel
  • Backfried, Gerhard
  • Denecke, Kerstin
  • Dolog, Peter
  • Dreesman, Johannes
  • Kirchner, Göran
  • Linge, Jens
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
http://purl.org/ne...btex#hasPublisher
  • IOS Press
https://schema.org/isbn
  • 978-1-60750-805-2
http://localhost/t...ganizacniJednotka
  • 26230
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