Displaying results 57 - 64 of 1295
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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 -
Automated Time Series Forecasting for Biosurveillance
Content Type: Abstract
The statistical process control (SPC) community has developed a wealth of robust, sensitive monitoring methods in the form of control charts [1]. Although such charts have been implemented for a wide variety of health monitoring purposes [2], some… read more -
Automatic and Secure Data Transfer of Syndromic Data between Hospitals and Public Health Using the PHINMS
Content Type: Abstract
The Public Health Information Network (PHIN) Messaging Service (PHINMS) is a PHIN-certified messaging system, initiated and supported by the Centers for Disease Control & Prevention. PHINMS is widely used by many… read more