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

Bioinformatics

Volumn 24, Issue 24, 2008, Pages 2940-2941

  Collier, Nigel ^a,b   Doan, Son ^a   Kawazoe, Ai ^a   Goodwin, Reiko Matsuda ^a,c   Conway, Mike ^a   Tateno, Yoshio ^d   Ngo, Quoc Hung ^e   Dien, Dinh ^e   Kawtrakul, Asanee ^f   Takeuchi, Koichi ^g   Shigematsu, Mika ^h   Taniguchi, Kiyosu ^h  

^a NATIONAL INSTITUTE OF INFORMATICS   (Japan)

^b JAPAN SCIENCE AND TECHNOLOGY AGENCY   (Japan)

^c CITY UNIVERSITY OF NEW YORK   (United States)

^d NATIONAL INSTITUTE OF GENETICS   (Japan)

^e VIETNAM NATIONAL UNIVERSITY   (Viet Nam)

^f KASETSART UNIVERSITY   (Thailand)

^g OKAYAMA UNIVERSITY   (Japan)

^h NATIONAL INSTITUTE OF INFECTIOUS DISEASES   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

ACCURACY; ARTICLE; COMPUTER INTERFACE; COMPUTER SYSTEM; E-MAIL; EPIDEMIC; EPIDEMIOLOGICAL DATA; HEALTH HAZARD; HUMAN; INFECTION; INTERNET; LANGUAGE; LINGUISTICS; MONITOR; PRIORITY JOURNAL; PUBLIC HEALTH; SUPPORT VECTOR MACHINE;

HUMANS; INFORMATION STORAGE AND RETRIEVAL; INTERNET; POPULATION SURVEILLANCE; PUBLIC HEALTH; SOFTWARE;

EID: 57249114504     PISSN: 13674803     EISSN: 14602059     Source Type: Journal    
DOI: 10.1093/bioinformatics/btn534     Document Type: Article

References (4)

1. Collier,N. et al. (2007) A multilingual ontology for infectious disease outbreak surveillance: Rationale, design and challenges. J. Lang. Resour. Eval. DOI: 10.1007/s10579-007-9019-7.
2. Conway,M. et al. (2008) Classifying disease outbreak reports using n-grams and semantic features. Proceedings of the 3rd International Symposium on Semantic Mining in Biomedicine (SMBM 2008) (in press).
3. Feldman,R. et al. (2001) A domain independent environment for creating information extraction modules. In Proceedings of the International Conference on Information and Knowledge Management (CIKM-01), pp. 586-588.
4. Kawazoe,A. et al. (2006) The development of a schema for the annotation of terms in the BioCaster disease detection/tracking system. In Proceedings of the International Workshop on Biomedical Ontology in Action (KR-MED 2006), pp. 77-85.