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Displaying results 313 - 320 of 367
  • Content Type: Use Case

    Problem Summary A truncated historical dataset is provided from one or more subregions with multiple participating hospitals with enough variety in the patient volume and demographics to make the problem challenging and to generate alerting… read more
    …  years’  data  with  all  seasons  could  be  used  for  training,  the  last  year’s  data  for  testing.   c. The …
  • Content Type: Success Stories

    Hurricane Harvey made landfall in Texas on August 25, 2017, resulting in 88 fatalities and more than $125 billion in damages to infrastructure. In Houston, flooding created a toxic mix of chemicals, sewage, biohazards, and 8 million cubic yards of… read more
    … and Services Program (GRASP); NSSP BioSense Platform ESSENCE Texas County-level Disaster Declarations Hurricane …
  • Content Type: Case Study

    Antibiotic resistance is an emerging public health concern and the scientific community recognizes the need to evaluate its epidemiology. Staphylococcus aureus (MRSA) are a key to this problem. Often found in the natural flora of the skin, nose and… read more
    … STUDY ___ Cross-Agency Communication and Collaboration __ Training and Resources ___ Technologies and Methodologies …
  • Content Type: Presentation Slides

    Presented December 8, 2015 Dr. Richard S. Hopkins presented the following slides as part of the ISDS Intro to BioSurveillance Workshop at the 2015 ISDS Annual Conference in Denver, Colorado. This presentation demonstrates… read more
    … persons Evaluation and management of exposed people Training for doctors in the community Public education …
  • Content Type: Webinar

    Triple - S is a project co-financed by the European commission through the Executive Agency for Health and Consumers. THe project encompasses an inventory of existing and proposed syndromic surveillance systems in Europe, including country visits… read more
    … Those considering and developing systems require training in syndromic data sources A framework rather than …
  • Content Type: Abstract

    The status of each Intensive Care Unit (ICU) patient is routinely monitored and a number of vital signs are recorded at sub-second frequencies which results in large amounts of data. We propose an approach to transform this stream of raw vital… read more
    … each type of these automatically extracted events using training data, which contain actual health alerts, in …
  • Content Type: Abstract

    With an estimated 500 million people infected each year, dengue ranks as one of the most significant mosquito-borne viral human diseases, and one of the most rapidly emerging vectorborne diseases. A variety of obstacles including bureaucracy and… read more
    … prior to model fitting. The final models, fit using a training subset of the data, were cross-validated against …
  • Content Type: Abstract

    Using an electronic health record (EHR) system, we tracked an outpatient population from a series of primary care providers to identify influenza-like illness (ILI) as part of a multi-state effort directed by the Centers for Disease Control and… read more
    … denomi- nator along with the number of ILI cases. Proper training and selecting the right practice played a large …