Name
Abstract | ||
|---|---|---|
The majority of statistical research on detecting disease outbreaks from prediagnostic data has focused on tools for modeling background behavior of such data, and for monitoring the data for anomaly detection. Because prediagnostic data tends to include explainable patterns such as day-of-week, seasonality, and holiday effects, the monitoring process often calls for a two-step algorithm: first, a preprocessing technique is used for deriving a residual series, and then the residuals are monitored using a classic control chart. Most studies tend to apply a single combination of a pre-processing technique with a particular control chart to a particular type of data. Although the choice of preprocessing technique should be driven by the nature of the non-outbreak data and the choice of the control chart by the nature of the outbreak to be detected, often the nature of both is non-stationary and unclear, and varies considerable across different data series. We therefore take an approach that combines algorithms rather than choosing a single one. In particular, we propose a method for combining multiple preprocessing algorithms and a method for combining multiple control charts, both based on linear-programming. We show preliminary results for combining pre-processing techniques, applied to both simulated and authentic syndromic data. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1007/978-3-540-72608-1_9 | BioSurveillance |
Keywords | Field | DocType |
different data series,control chart,particular control chart,improved performance,biosurveillance system,classic control chart,authentic syndromic data,non-outbreak data,algorithm combination,preprocessing technique,pre-processing technique,multiple control chart,prediagnostic data,linear program,seasonality,disease outbreak,anomaly detection | Anomaly detection,Data mining,Residual,Computer science,Algorithm,Preprocessor,Control chart,Data series,Majority rule,Biosurveillance | Conference |
Volume | ISSN | Citations |
4506 | 0302-9743 | 1 |
PageRank | References | Authors |
0.38 | 4 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Inbal Yahav | 1 | 16 | 5.78 |
| Galit Shmueli | 2 | 265 | 23.00 |