BioCaster: detecting public health rumors with a Web-based text mining system

Summary: BioCaster is an ontology-based text mining system for detecting and tracking the distribution of infectious disease outbreaks from linguistic signals on the Web. The system continuously analyzes documents reported from over 1700 RSS feeds, classifies them for topical relevance and plots the...

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Detalles Bibliográficos
Autores principales: Collier, Nigel, Doan, Son, Kawazoe, Ai, Goodwin, Reiko Matsuda, Conway, Mike, Tateno, Yoshio, Ngo, Quoc-Hung, Dien, Dinh, Kawtrakul, Asanee, Takeuchi, Koichi, Shigematsu, Mika, Taniguchi, Kiyosu
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2008
Materias:
Applications Note
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2639299/
https://www.ncbi.nlm.nih.gov/pubmed/18922806
http://dx.doi.org/10.1093/bioinformatics/btn534

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2639299/
https://www.ncbi.nlm.nih.gov/pubmed/18922806
http://dx.doi.org/10.1093/bioinformatics/btn534

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