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  • Content Type: Abstract

    As the electronic medical record (EMR) market matures, long-term time series of EMR-based surveillance data are becoming available. In this work, we hypothesized that statistical aberrancy-detection methods that incorporate seasonality and other… read more
    … s33 synthetic background and injection data sets (http://www.bt.cdc.gov//surveillance/ears/ datasets.asp, accessed 20 … H Zheng et al.; licensee Emerging Health Threats Journal. www.eht-journal.org 1414 Results The figure shows activity … 2 Tokars JI, Burkom H, Xing J, English R, Bloom S, Cox K, et al. Enhancing time-series detection algorithms for …
  • Content Type: Abstract

    A comprehensive electronic medical record (EMR) represents a rich source of information that can be harnessed for epidemic surveillance. At this time, however, we do not know how EMR-based data elements should be combined to improve the performance… read more
    … H Zheng et al.; licensee Emerging Health Threats Journal. www.eht-journal.org 1616 two non-negated ARI symptoms from … 2 Tokars JI, Burkom H, Xing J, English R, Bloom S, Cox K, et al. Enhancing time-series detection algorithms for … Health Threats Journal H Zheng et al. 2011, 4:s18 www.eht-journal.org page 2/2 1717 …
  • Content Type: Abstract

    A comprehensive electronic medical record (EMR) represents a rich source of information that can be harnessed for epidemic surveillance. At this time, however, we do not know how EMR-based data elements should be combined to improve the performance… read more
    … H Zheng et al.; licensee Emerging Health Threats Journal. www.eht-journal.org 1616 two non-negated ARI symptoms from … 2 Tokars JI, Burkom H, Xing J, English R, Bloom S, Cox K, et al. Enhancing time-series detection algorithms for … Health Threats Journal H Zheng et al. 2011, 4:s18 www.eht-journal.org page 2/2 1717 …