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MedISys: Medical Information System
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Author(s): Jens P. Linge (Joint Research Centre of the European Commission Institute for the Protection and Security of the Citizen Global Security and Crisis Management Unit, Italy), Ralf Steinberger (Joint Research Centre of the European Commission Institute for the Protection and Security of the Citizen Global Security and Crisis Management Unit, Italy), Flavio Fuart (Joint Research Centre of the European Commission Institute for the Protection and Security of the Citizen Global Security and Crisis Management Unit, Italy), Stefano Bucci (Joint Research Centre of the European Commission Institute for the Protection and Security of the Citizen Global Security and Crisis Management Unit, Italy), Jenya Belyaeva (Joint Research Centre of the European Commission Institute for the Protection and Security of the Citizen Global Security and Crisis Management Unit, Italy), Monica Gemo (Joint Research Centre of the European Commission Institute for the Protection and Security of the Citizen Global Security and Crisis Management Unit, Italy), Delilah Al-Khudhairy (Joint Research Centre of the European Commission Institute for the Protection and Security of the Citizen Global Security and Crisis Management Unit, Italy), Roman Yangarber (University of Helsinki, Department of Computer Science, Finland)and Erik van der Goot (Joint Research Centre of the European Commission Institute for the Protection and Security of the Citizen Global Security and Crisis Management Unit, Italy)
Copyright: 2010
Pages: 12
Source title:
Advanced ICTs for Disaster Management and Threat Detection: Collaborative and Distributed Frameworks
Source Author(s)/Editor(s): Eleana Asimakopoulou (Loughborough University, UK)and Nik Bessis (University of Bedfordshire, UK)
DOI: 10.4018/978-1-61520-987-3.ch009
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Abstract
The Medical Information System (MedISys) is a fully automatic 24/7 public health surveillance system monitoring human and animal infectious diseases and chemical, biological, radiological and nuclear (CBRN) threats in open-source media. In this article, we explain the technology behind MedISys, describing the processing chain from the definition of news sources, scraping and grabbing articles from the internet, text mining, event extraction with the Pattern-based Understanding and Learning System (PULS, developed by the University of Helsinki), news clustering and alerting, to the display of results. The web interface and service applications are shown from a user’s perspective. Users can display world maps in which event locations are highlighted as well as statistics on the reporting about diseases, countries and combinations thereof and can apply filters for language, disease or location or filters with orthogonal categories, e.g. outbreaks, via their browser. Specific entities such as persons, organizations and locations are identified automatically.
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