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Titlebook: Intelligence and Security Informatics: Biosurveillance; Second NSF Workshop, Daniel Zeng,Ivan Gotham,Hsinchun Chen Conference proceedings 2

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书目名称Intelligence and Security Informatics: Biosurveillance
副标题Second NSF Workshop,
编辑Daniel Zeng,Ivan Gotham,Hsinchun Chen
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Intelligence and Security Informatics: Biosurveillance; Second NSF Workshop, Daniel Zeng,Ivan Gotham,Hsinchun Chen Conference proceedings 2
描述The 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
出版日期Conference proceedings 2007
关键词DJ; DOM; Internet; algorithms; anomaly detection; applied mathematics; biosurveillance; computer algebra; co
版次1
doihttps://doi.org/10.1007/978-3-540-72608-1
isbn_softcover978-3-540-72607-4
isbn_ebook978-3-540-72608-1Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2007
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Detecting the Start of the Flu Seasonting ICD classifier to a set of emergency department (ED) visits for which both the chief complaint (CC) and ICD code are known. A collection of CC substrings (or n-grams), with associated probabilities, are automatically generated from the training data. This information becomes a CC classifier whi
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Conference proceedings 2007nical 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
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Ambulatory e-Prescribing: Evaluating a Novel Surveillance Data Sourceantibiotics are highly correlated with respiratory tract indications (0.84, p<0.0001, 95% CI 0.73-0.90). The over-representation of higher age groups in the electronic prescribing system suggest that data from such systems may be suitable for observing trends in chronic conditions or infectious cond
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978-3-540-72607-4Springer-Verlag Berlin Heidelberg 2007
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