Displaying results 1 - 5 of 5
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Preparing Biosurveillance Data for Classic Monitoring
Content Type: Abstract
Modern surveillance systems use statistical process control (SPC) charts such as Cumulative Sum and Exponentially Weighted Moving Average charts for monitoring daily counts of such quantities as ICD-9 codes from ED visits,… read more… daily counts of such quantities as ICD-9 codes from ED visits, sales of medications, and doctors’ office visits. The working assumption is that such pre-clinical … daily counts of such quantities as ICD-9 codes from ED visits, sales of medications, and doctors’ office visits. … -
Automated Time Series Forecasting for Biosurveillance
Content Type: Abstract
The statistical process control (SPC) community has developed a wealth of robust, sensitive monitoring methods in the form of control charts [1]. Although such charts have been implemented for a wide variety of health monitoring purposes [2], some… read more… systematic behavior. Time series forecasting methods may be used to remove this behavior by subtracting forecasts … systematic behavior. Time series forecasting methods may be used to remove this behavior by subtracting forecasts … systematic behavior. Time series forecasting methods may be used to remove this behavior by subtracting forecasts … -
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). … models, using past data from the same time of year (26). Note that ex- plicit modeling of seasonal variation … the response is trans- formed into a natural log (log(y)) is often appropriate. For our data series, we fit a … -
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 … -
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… This paper investigates the use of data-adaptive mul- tivariate statistical process control (MSPC) charts for …