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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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Detalles Bibliográficos
Autor principal: Collier, Nigel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2012
Materias:
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
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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.
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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
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