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MiTAP for SARS detection

Laurie E. Damianos, Marat G. Polyak, Samuel Bayer, Michael A. Chisholm, John Henderson, Lynette Hirschman, William Morgan, Marc Ubaldino, Guido Zarrella, James M. Wilson
2004 Demonstration Papers at HLT-NAACL 2004 on XX - HLT-NAACL '04   unpublished
The MiTAP prototype for SARS detection uses human language technology for detecting, monitoring, and analyzing potential indicators of infectious disease outbreaks and reasoning for issuing warnings and  ...  Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing this burden, to Washington Headquarters Services, Directorate for  ...  and Warnings for SARS.  ... 
doi:10.3115/1614025.1614029 fatcat:uutmamxv3fhzlcuwvojr7ahrkq

Social Media and Internet-Based Data in Global Systems for Public Health Surveillance: A Systematic Review

2014 Milbank Quarterly  
More direct access to such data could enable surveillance epidemiologists to detect potential public health threats such as rare, new diseases or early-level warnings for epidemics.  ...  and policymakers, have wide-reaching implications for public health surveillance in the 21st century.  ...  By demonstrating the importance of detecting unknown but similar diseases, it became evident that new data sources and methods for monitoring such data were critical. 3 As a result of the SARS-CoV epidemic  ... 
doi:10.1111/1468-0009.12038 pmid:24597553 pmcid:PMC3955375 fatcat:y3s252yvlzexnfmw6rnbz2s27q

Automatic online news monitoring and classification for syndromic surveillance

Yulei Zhang, Yan Dang, Hsinchun Chen, Mark Thurmond, Cathy Larson
2009 Decision Support Systems  
In this study, we have developed a framework for automatic online news monitoring and classification for syndromic surveillance.  ...  By monitoring online news sources and developing an accurate news classification system for syndromic surveillance, public health personnel can be apprised of outbreaks and potential outbreak situations  ...  Acknowledgments We gratefully acknowledge support from the National Science Foundation (NSF ITR 0428241 "BioPortal: A National Center of Excellence for Infectious Disease Informatics").  ... 
doi:10.1016/j.dss.2009.04.016 pmid:32287567 pmcid:PMC7114309 fatcat:gqscgueatnbqli5yihgo6kwvsa

A Heuristic Indication and Warning Staging Model for Detection and Assessment of Biological Events

J. M. Wilson, M. G. Polyak, J. W. Blake, J. Collmann
2008 JAMIA Journal of the American Medical Informatics Association  
as the Saffir-Simpson Hurricane Scale) to detect and assess threatening weather conditions.  ...  The approach is applicable for monitoring open-source (public-domain) media for indications and warnings of such events, and specifically for markers of the social disruption that commonly occur as these  ...  For our search, we used MiTAP.  ... 
doi:10.1197/jamia.m2558 pmid:18096906 pmcid:PMC2274782 fatcat:dysmo6av2vatvlibegm3hh6zsm

Digital disease detection: A systematic review of event-based internet biosurveillance systems

Jesse O'Shea
2017 International Journal of Medical Informatics  
Several surveillance systems use non-structured, event-based, digital data, such as the Global Public Health Intelligence Health Network (GPHIN), which detected severe acute respiratory syndrome (SARS)  ...  Event-based Internet biosurveillance is a recognised effective approach for infectious disease detection.  ... 
doi:10.1016/j.ijmedinf.2017.01.019 pmid:28347443 pmcid:PMC7108385 fatcat:f6zve56zo5gmvescnnupnvw3le

Uncovering text mining: A survey of current work on web-based epidemic intelligence

Nigel Collier
2012 Global Public Health  
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).  ...  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.  ...  change point detection.  ... 
doi:10.1080/17441692.2012.699975 pmid:22783909 pmcid:PMC3438486 fatcat:wcfi2qf4j5cgzgk4p7gbt6dnqe

A Framework of NLP Based Information Tracking and Related Knowledge Organizing with Topic Maps [chapter]

Asanee Kawtrakul, Chaiyakorn Yingsaeree, Frederic Andres
Lecture Notes in Computer Science  
that makes them useful for tracking events such as natural disaster, and disease dispersion.  ...  We introduce a simple statistical information extraction technique for summarizing the document into a predefined structure.  ...  around the world to database, and MiTAP [17] , a prototype SARS detecting, monitoring and analyzing system.  ... 
doi:10.1007/978-3-540-73351-5_24 fatcat:3jizewhu4zc25ph3leqp6kdrki

Semantic Tracking in Peer-to-Peer Topic Maps Management [chapter]

Asanee Kawtrakul, Chaiyakorn Yingsaeree, Frederic Andres
Databases in Networked Information Systems  
collaborative semantic tracking framework based on topic maps which aims to integrate and organize the data/information resources that spread throughout the Internet in the manner that makes them useful for  ...  We present the architecture we defined in order to support highly relevant semantic management and to provide adaptive services such as statistical information extraction technique for document summarization  ...  epidemics around the world to database, and MiTAP [8] , a prototype SARS detecting, monitoring and analyzing system.  ... 
doi:10.1007/978-3-540-75512-8_5 dblp:conf/dnis/KawtrakulYA07 fatcat:rpk57p3j4vap5o7qqbyl57kr64