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Text Mining from the Web for Medical Intelligence
Ralf Steinberger, Flavio Fuart, Erik van der Goot, Clive Best, Peter von Etter, Roman Yangarber
295 - 310
10.3233/978-1-58603-898-4-295
NATO Science for Peace and Security Series - D: Information and Communication Security
Volume 19: Mining Massive Data Sets for Security
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.

$35.00 / €27.50 / £22.00
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