Displaying results 2681 - 2688 of 4232
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International System for Total Early Disease Detection (InSTEDD) Platform
Content Type: Abstract
This paper describes a hybrid (event-based and indicator-based) surveillance platform designed to streamline the collaboration between domain experts and machine learning algorithms for detection, prediction and response to health-related events (… read more -
Investigating Syndromic Peaks Using Remotely Available Electronic Medical Records
Content Type: Abstract
One limitation of syndromic surveillance systems based on emergency department (ED) data is the time and expense to investigate peak signals, especially when that involves phone calls or visits to the hospital. Many EDs use electronic medical… read more -
Invited Commentary: Automated Public Health Reporting-- A Familiar but Cantankerous Friend
Content Type: Abstract
The Electronic medical record Support for Public health (ESP) project by Klompas et al. (1) promises improved public health reporting by exploiting information captured in electronic health records. This project pulls together a number of… read more -
Klompas et al. Respond: Automated Public Health Reporting-- Possible with a Coalition of the Willing
Content Type: Abstract
Professor Hripcsak rightly points out some of the challenges inherent in disseminating and sustaining robust information systems to automate the detection and reporting of notifiable diseases using data from electronic medical records (EMR). New… read more -
Laboratory Preparedness for Pandemic Influenza: Estimating the Potential Magnitude of Diagnostic Demand through Trends in Respiratory Illness
Content Type: Abstract
To estimate diagnostic demand in case of pandemic threat using trends in respiratory syndromes (as input for a laboratory preparedness program). -
LAHVA: Linked Animal-Human Health Visual Analytics
Content Type: Abstract
This paper describes our integrated visual analytics framework for analyzing both human emergency room data and veterinary hospital data. -
Late Season Influenza-like Illness in Georgia: Prospective Detection of an Illness Cluster Using Emergency Department Syndromic Surveillance
Content Type: Abstract
This paper describes a cluster of influenza-like illness (ILI) prospectively identified through emergency department (ED) syndromic surveillance (SS). -
Learning Outbreak Regions for Bayesian Spatial Biosurveillance
Content Type: Abstract
This work incorporates model learning into a Bayesian framework for outbreak detection. Our method learns the spatial characteristics of each outbreak type from a small number of labeled training examples, assuming a generative outbreak model with… read more