Displaying results 425 - 432 of 1300
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Assessing the Coverage of BioCaster Terms in Web News
Content Type: Abstract
We describe here a multilingual ontology to support disease surveillance by intelligent text mining systems from Web-based rumours. We informally assessed the coverage of its English terms on large sample of news collected from the Web. -
Assessing the Impact of Syndromic Surveillance Systems on Routine Public Health Practice: Identifying and Evaluating Syndromic Signals
Content Type: Abstract
We describe the development and implementation of a protocol for identifying syndromic signals and for assessing their value to public health departments for routine (non-bioterrorism) purposes. The specific objectives of the evaluation are to… read more -
Assessing the Utility of Syndromic Surveillance Systems during Extreme Weather Conditions
Content Type: Abstract
Recent extreme weather events have caused serious health and social problems across Europe. During the summer heat waves of 2003 across Europe, France recorded an excess of over 14,000 deaths contributed to heat-related causes. Other countries such… read more -
Automated Creation of High-Quality Maps Using SAS and Python
Content Type: Abstract
New York City ED syndromic surveillance data uses SaTScan to detect spatial signals. SaTScan analysis has been integrated into SAS since 2002, and signal maps have been generated from SAS since 2003. Signal maps are created occasionally to… read more -
Automated Data Acquisition: Data Collection and Integration for the Alberta Real-Time Syndromic Surveillance Net (ARTSSN)
Content Type: Abstract
The ability to provide real time syndromic surveillance throughout the Capital Health Region is currently undeveloped. There are limited mechanisms for routine real time surveillance of disease or conditions of public health… read more -
Automated Detection of GI Syndrome using Structured and Non-Structured Data from the VA EMR
Content Type: Abstract
Objective We performed a gold-standard manual chart review for gastro-intestinal syndrome to evaluate automated detection models based on both structured and non-structured data extracted from the VA … read more -
Automated Detection of Tuberculosis Using Electronic Medical Record Data
Content Type: Abstract
Approximately one quarter of people treated for tuberculosis (TB) have no supporting microbiology, and thus are not detectable through laboratory reporting systems. Health departments depend upon clinicians to report these… read more -
Automated Generation of Hypothesis of Processes Causing Clusters
Content Type: Abstract
Computational and statistical methods for detecting disease clusters, such as the spatial scan statistic, have become frequently used tools in epidemiology. However, they simply tell the user where a cluster is, and leave the… read more