文章基本信息

标题：Category-Specific Comparison of Univariate Alerting Methods for Biosurveillance Decision Support
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作者：Yevgeniy Elbert ; Vivian Hung ; Howard Burkom 等
期刊名称：Online Journal of Public Health Informatics
电子版ISSN：1947-2579
出版年度：2013
卷号：5
期号：1
语种：English
出版社：University of Illinois at Chicago
摘要：We compared detection performance of univariate alerting methods on real and simulated events in different types of biosurveillance data. Both kinds of detection performance analysis showed the method based on Holt-Winters exponential smoothing superior on non-sparse time series with day-of-week effects. The adaptive CUSUM and Shewhart methods proved optimal on sparse data and data without weekly patterns.