Displaying results 1 - 3 of 3
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Data-Adaptive Multivariate Control Charts for Routine Health Monitoring
Content Type: Abstract
This paper investigates the use of data-adaptive multivariate statistical process control (MSPC) charts for outbreak detection using real-world syndromic data. The widely used EARS [1] methods and other adaptive implementations assume implicitly… read more… assume implicitly that nonsta-tionarity and/or the lack of historic data preclude the conventional Phase … assume implicitly that nonsta- tionarity and/or the lack of historic data preclude the conventional Phase … assume implicitly that nonsta-tionarity and/or the lack of historic data preclude the conventional Phase … -
Development and Evaluation of a Data-adaptive Algorithm for Univariate Temporal Biosurveillance Data
Content Type: Abstract
Numerous recent papers have evaluated algorithms for biosurveillance anomaly detection. Common essential problems in the disparate, evolving data environment include trends, day-of-week effects, and other systematic behavior.… read more… of authentic outpatient data covering 1402 days of clinic visit counts. Receiver operating characteristic curves were … in Medicine, available at http://www3.interscience.wiley.com/cgi- bin/fulltext/114131913/PDFSTART. 2. Brillman JC, et.al. Modeling emergency department visit patterns for infectious disease complaints: results … -
Implementation and Comparison of Preprocessing Methods for Biosurveillance Data
Content Type: Abstract
Modern biosurveillance relies on multiple sources of both prediagnostic and diagnostic data, updated daily, to discover disease outbreaks. Intrinsic to this effort are two assumptions: (1) the data being analyzed contain early indicators… read more… singularities” and will falsely report outbreaks when com- paring new counts to past low holiday values (2). … Decision Making 2005, 5:4:1–14, [http://www.biomedcentral.com/content/pdf/ 1472- 6947- 5- 4.pdf]. 28. Burkom HS, …