Displaying results 217 - 224 of 4232
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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 -
Automated Information Integration from Heterogeneous Data Sources: A Semantic Web Approach
Content Type: Abstract
Integration of information from multiple disparate and heterogeneous sources is a labor and resource intensive task. Heterogeneity can come about in the way data is represented or in the meaning of data in different contexts. Semantic Web… read more -
Automated Monitoring of Asthma Using the BioSense System
Content Type: Abstract
In 2006, approximately 6.8 million children and 16.1 million adults were reported to have asthma in the US. The CDC BioSense System currently receives data from >540 hospital emergency departments (EDs; 522 send patient chief… read more -
Automated Monitoring of Exposures Using the BioSense System
Content Type: Abstract
BioSense is a national automated surveillance system designed to enhance the nation's capability to rapidly detect and quantify public health emergencies, by accessing and analyzing diagnostic and prediagnostic health data. The… read more -
Automated Surveillance To Detect An Influenza Epidemic: Which Respiratory Syndrome Should We Monitor?
Content Type: Abstract
OBJECTIVE Syndromic surveillance systems (SSS) seek early detection of infectious diseases outbreaks by focusing on pre-diagnostic symptoms. We do not yet know which respiratory syndrome should be monitored for a SSS to discover… read more -
Automated Syndromic Surveillance System in Los Angeles County
Content Type: Abstract
The Los Angeles County (LAC) Bioterrorism Preparedness and Response Unit has made significant progress in automating the syndromic surveillance system. The surveillance system receives electronic data on a daily basis from different hospital… read more