Skip to main content

Displaying results 17 - 18 of 18
  • Content Type: Abstract

    Ideal anomaly detection algorithms shoulddetect both sudden and gradual changes, while keeping the background false positive alert rate at a tolerable level. The algorithms should also be easy to use. Our objective was to develop an anomaly… read more
    … C2 or C3 alert. The test data were time series of daily visits from two emergency departments (ED) for two … with the usual 2.0 cut-off for two EDs. ORIGINAL GI DAILY VISITS, ~19 MONTHS, ED1 GI 4-DAY OUTBREAKS ROC COMPARISON …
  • Content Type: Abstract

    Objective Several authors have described ways to introduce artificial outbreaks into time series for the purpose of developing, testing, and evaluating the effectiveness and timeliness of anomaly detection algorithms, and more… read more
    … Figure 1: Comparative Time Series of Emergency Department Visits with Artificial Outbreaks RESULTS Data sequences …