A methodology to enhance spatial understanding of disease outbreak events reported in news articles

@article{Chanlekha2010AMT,
  title={A methodology to enhance spatial understanding of disease outbreak events reported in news articles},
  author={Hutchatai Chanlekha and Nigel Collier},
  journal={International journal of medical informatics},
  year={2010},
  volume={79 4},
  pages={284-96}
}
PURPOSE The emergence and re-emergence of disease outbreaks of international concern in the last several years has raised the importance of health surveillance systems that exploit the open media for their timely and precise detection of events. However, one of the key barriers faced by current event-based health surveillance systems is in identifying fine-grained terms for an outbreak's geographical location. In this article, we present a method to tackle this problem by associating each… CONTINUE READING

References

Publications referenced by this paper.
Showing 1-10 of 51 references

Extending the event calculus for tracking epidemic spread

Artificial Intelligence in Medicine • 2006
View 5 Excerpts
Highly Influenced

Discourse Segmentation by Human and Automated Means

Computational Linguistics • 1997
View 7 Excerpts
Highly Influenced

Content Analysis: An Introduction to its Methodology

K. Krippendorff
Sage Publications, Inc. • 1980
View 7 Excerpts
Highly Influenced

Computing Krippendorff’s Alpha-Reliability

K. Krippendorff
2007.06.01, Available from: http://www.asc.upenn.edu/usr/krippendorff/webreliability.doc • 2010
View 1 Excerpt

The reliability of a dialogue structure coding scheme

S. Isard, G. Doherty-Sneddon
Computational Linguistics • 2010

BioCaster text mining project

N. Collier
2006, Available from: http://biocaster.nii.ac.jp • 2009
View 1 Excerpt

et al

R. Saurí, J. Littman, B. Knippen
TimeML annotation guidelines version 1.2.1, January 31, 2006, Available from: http://www.cs.brandeis.edu/∼jamesp/arda/time/ timeMLdocs/annguide12wp.pdf • 2009
View 2 Excerpts

A

N. Collier, S. Doan
Kawazoe, et al., BioCaster: detecting public health rumors with a Web-based text mining system, Bioinformatics 24 • 2008
View 1 Excerpt

Similar Papers

Loading similar papers…