Displaying results 1 - 5 of 5
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Application of Natural Language Parsers To Syndromic Surveillance
Content Type: Abstract
This paper describes a methodology for applying natural language parsing (NLP) technologies, originally developed for analyzing biomedical journal articles, to the monitoring of emergency department patient charts for infectious diseases of interest. -
The Development of BTA-Specific Disease Profiles for Use in a Real-Time Disease Identification and Notification System
Content Type: Abstract
Real-time disease surveillance is critical for early detection of the covert release of a biological threat agent (BTA). Numerous software applications have been developed to detect emerging disease clusters resulting from either naturally occurring… read more -
Case Definition for Real-Time Surveillance of Influenza-like Illness
Content Type: Abstract
The Centers for Disease Control and Prevention case definition of influenza-like illness (ILI) as fever with cough and/or sore throat casts a wide net resulting in lower sensitivity which can have major implications on public health… read more -
GUARDIAN: Geographic Utilization of Artificial Intelligence in Real-Time for Disease Identification and Notification
Content Type: Abstract
Real-time disease surveillance is critical for early detection of the covert release of a biological threat agent (BTA). Numerous software applications have been developed to detect emerging disease clusters resulting from either naturally occurring… read more -
Disease Profile Development Methodology for Syndromic Surveillance of Biological Threat Agents
Content Type: Abstract
Detection of biological threat agents (BTAs) is critical to the rapid initiation of treatment, infection control measures, and public health emergency response plans. Due to the rarity of BTAs, standard methodology for developing syndrome… read more