Title
Text Mining from the Web for Medical Intelligence
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 med- ical information from a wide range of sources. In this work we present a freely ac- cessible 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.
Year
Keywords
Field
2007
medical intelligence,multilinguality,. information retrieval,multi-document information aggregation,information extraction,text mining,public health,information retrieval,system design
Public health,Text mining,World Wide Web,Mandate,Information extraction,Engineering
DocType
Citations 
PageRank 
Conference
21
1.24
References 
Authors
8
6
Name
Order
Citations
PageRank
Ralf Steinberger194979.70
Flavio FUART2646.75
Erik Van der Goot322114.88
Clive Best4636.89
Peter von Etter5322.36
Roman Yangarber641162.85