Title: Text Mining from the Web for Medical Intelligence
Authors: STEINBERGER RALFFUART FLAVIOVAN DER GOOT ERIKBEST CliveVAN ETTER PeterYANGARBER Roman
Publisher: IOS Press
Publication Year: 2008
JRC N°: JRC45480
ISBN: 978-1-58603-898-4
URI: http://langtech.jrc.it/Documents/2009_MMDSS_Medical-Intelligence.pdf; http://www.iospress.nl/loadtop/load.php?isbn=9781586038984
http://publications.jrc.ec.europa.eu/repository/handle/JRC45480
DOI: 10.3233/978-1-58603-898-4-295
Type: Articles in books
Abstract: Global medical and epidemic surveillance is an essential function of Public Health agencies, whose mandate is to protect the public from major health threats. To perform this function effectively one requires timely and accurate medical information from a wide range of sources. In this work we present a freely accessible system designed to monitor disease epidemics by analysing textual reports, mostly in the form of news gathered from the Web. The system rests on two major components'MedISys, based on Information Retrieval technology, and PULS, an Information Extraction system.
JRC Institute:Institute for the Protection and Security of the Citizen

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