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020 _a9783540726081
_9978-3-540-72608-1
024 7 _a10.1007/978-3-540-72608-1
_2doi
050 4 _aQA76.76.A65
072 7 _aUNH
_2bicssc
072 7 _aUDBD
_2bicssc
072 7 _aCOM032000
_2bisacsh
082 0 4 _a005.7
_223
245 1 0 _aIntelligence and Security Informatics: Biosurveillance
_h[electronic resource] :
_bSecond NSF Workshop, BioSurveillance 2007, New Brunswick, NJ, USA, May 22, 2007. Proceedings /
_cedited by Daniel Zeng, Ivan Gotham, Ken Komatsu, Cecil Lynch, Mark Thurmond, David Madigan, Bill Lober, James Kvach, Hsinchun Chen.
260 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2007.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2007.
300 _aXI, 234 p. Also available online.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Computer Science,
_x0302-9743 ;
_v4506
505 0 _aLong Papers -- Early Outbreak Detection Using an Automated Data Feed of Test Orders from a Veterinary Diagnostic Laboratory -- Chinese Chief Complaint Classification for Syndromic Surveillance -- Incorporating Geographical Contacts into Social Network Analysis for Contact Tracing in Epidemiology: A Study on Taiwan SARS Data -- A Model for Characterizing Annual Flu Cases -- Population Dynamics in the Elderly: The Need for Age-Adjustment in National BioSurveillance Systems -- Data Classification for Selection of Temporal Alerting Methods for Biosurveillance -- High Performance Computing for Disease Surveillance -- Towards Real Time Epidemiology: Data Assimilation, Modeling and Anomaly Detection of Health Surveillance Data Streams -- Algorithm Combination for Improved Performance in Biosurveillance Systems -- Decoupling Temporal Aberration Detection Algorithms for Enhanced Biosurveillance -- Assessing Seasonal Variation in Multisource Surveillance Data: Annual Harmonic Regression -- A Study into Detection of Bio-Events in Multiple Streams of Surveillance Data -- A Web-Based System for Infectious Disease Data Integration and Sharing: Evaluating Outcome, Task Performance Efficiency, User Information Satisfaction, and Usability -- Public Health Affinity Domain: A Standards-Based Surveillance System Solution -- The Influenza Data Summary: A Prototype Application for Visualizing National Influenza Activity -- Global Foot-and-Mouth Disease Surveillance Using BioPortal -- Utilization of Predictive Mathematical Epidemiological Modeling in Crisis Preparedness Exercises -- Short Papers -- Ambulatory e-Prescribing: Evaluating a Novel Surveillance Data Source -- Detecting the Start of the Flu Season -- Syndromic Surveillance for Early Detection of Nosocomial Outbreaks -- A Bayesian Biosurveillance Method That Models Unknown Outbreak Diseases -- Spatial Epidemic Patterns Recognition Using Computer Algebra -- Detecting Conserved RNA Secondary Structures in Viral Genomes: The RADAR Approach -- Extended Abstracts -- Gemina: A Web-Based Epidemiology and Genomic Metadata System Designed to Identify Infectious Agents -- Internet APRS Data Utilization for Biosurveillance Applications.
520 _aThe 2007 NSF BioSurveillance Workshop (BioSurveillance 2007) was built on the success of the first NSF BioSurveillance Workshop, hosted by the University of Arizona’s NSF BioPortal Center in March 2006. BioSurveillance 2007 brought - gether infectious disease informatics (IDI) researchers and practitioners to discuss selected topics directly relevant to data sharing and analysis for real-time animal and public health surveillance. These researchers and practitioners represented a wide range of backgrounds including but not limited to epidemiology, statistics, applied mathematics, information systems, computer science and machine learning/data mining. BioSurveillance 2007 aimed to achieve the following objectives: (a) review and examine various real-time data sharing approaches for animal and public health s- veillance from both technological and policy perspectives; (b) identify key technical challenges facing syndromic surveillance for both animal and human diseases, and discuss and compare related systems approaches and algorithms; and (c) provide a forum to bring together IDI researchers and practitioners to identify future research opportunities. We are pleased that we received many outstanding contributions from IDI research groups and practitioners from around the world. The one-day program included one invited presentation, 17 long papers, six short papers, and two posters. BioSurveillance 2007 was jointly hosted by: the University of Arizona; University of California, Davis; Rutgers, The State University of New Jersey; and the University of Washington.
650 0 _aComputer science.
650 0 _aComputer Communication Networks.
650 0 _aData mining.
650 0 _aInformation systems.
650 0 _aBioinformatics.
650 0 _aInformation Systems.
650 1 4 _aComputer Science.
650 2 4 _aInformation Systems Applications (incl.Internet).
650 2 4 _aData Mining and Knowledge Discovery.
650 2 4 _aComputer Communication Networks.
650 2 4 _aComputational Biology/Bioinformatics.
650 2 4 _aComputers and Society.
650 2 4 _aManagement of Computing and Information Systems.
700 1 _aZeng, Daniel.
_eeditor.
700 1 _aGotham, Ivan.
_eeditor.
700 1 _aKomatsu, Ken.
_eeditor.
700 1 _aLynch, Cecil.
_eeditor.
700 1 _aThurmond, Mark.
_eeditor.
700 1 _aMadigan, David.
_eeditor.
700 1 _aLober, Bill.
_eeditor.
700 1 _aKvach, James.
_eeditor.
700 1 _aChen, Hsinchun.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783540726074
786 _dSpringer
830 0 _aLecture Notes in Computer Science,
_x0302-9743 ;
_v4506
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-540-72608-1
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