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Uncovering text mining: A survey of current work on web-based epidemic intelligence
Real world pandemics such as SARS 2002 as well as popular fiction like the movie Contagion graphically depict the health threat of a global pandemic and the key role of epidemic intelligence (EI). While EI relies heavily on established indicator sources a new class of methods based on event alerting...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Taylor & Francis
2012
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3438486/ https://www.ncbi.nlm.nih.gov/pubmed/22783909 http://dx.doi.org/10.1080/17441692.2012.699975 |
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author | Collier, Nigel |
author_facet | Collier, Nigel |
author_sort | Collier, Nigel |
collection | PubMed |
description | Real world pandemics such as SARS 2002 as well as popular fiction like the movie Contagion graphically depict the health threat of a global pandemic and the key role of epidemic intelligence (EI). While EI relies heavily on established indicator sources a new class of methods based on event alerting from unstructured digital Internet media is rapidly becoming acknowledged within the public health community. At the heart of automated information gathering systems is a technology called text mining. My contribution here is to provide an overview of the role that text mining technology plays in detecting epidemics and to synthesise my existing research on the BioCaster project. |
format | Online Article Text |
id | pubmed-3438486 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Taylor & Francis |
record_format | MEDLINE/PubMed |
spelling | pubmed-34384862012-09-11 Uncovering text mining: A survey of current work on web-based epidemic intelligence Collier, Nigel Glob Public Health Research Article Real world pandemics such as SARS 2002 as well as popular fiction like the movie Contagion graphically depict the health threat of a global pandemic and the key role of epidemic intelligence (EI). While EI relies heavily on established indicator sources a new class of methods based on event alerting from unstructured digital Internet media is rapidly becoming acknowledged within the public health community. At the heart of automated information gathering systems is a technology called text mining. My contribution here is to provide an overview of the role that text mining technology plays in detecting epidemics and to synthesise my existing research on the BioCaster project. Taylor & Francis 2012-07-11 2012-08 /pmc/articles/PMC3438486/ /pubmed/22783909 http://dx.doi.org/10.1080/17441692.2012.699975 Text en © 2012 Taylor & Francis http://www.informaworld.com/mpp/uploads/iopenaccess_tcs.pdf This is an open access article distributed under the Supplemental Terms and Conditions for iOpenAccess articles published in Taylor & Francis journals (http://www.informaworld.com/mpp/uploads/iopenaccess_tcs.pdf) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Collier, Nigel Uncovering text mining: A survey of current work on web-based epidemic intelligence |
title | Uncovering text mining: A survey of current work on web-based epidemic intelligence |
title_full | Uncovering text mining: A survey of current work on web-based epidemic intelligence |
title_fullStr | Uncovering text mining: A survey of current work on web-based epidemic intelligence |
title_full_unstemmed | Uncovering text mining: A survey of current work on web-based epidemic intelligence |
title_short | Uncovering text mining: A survey of current work on web-based epidemic intelligence |
title_sort | uncovering text mining: a survey of current work on web-based epidemic intelligence |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3438486/ https://www.ncbi.nlm.nih.gov/pubmed/22783909 http://dx.doi.org/10.1080/17441692.2012.699975 |
work_keys_str_mv | AT colliernigel uncoveringtextminingasurveyofcurrentworkonwebbasedepidemicintelligence |