Displaying results 1 - 8 of 18
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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. -
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 -
A Syndrome Definition Validation Approach for Zika Virus
Content Type: Abstract
In 2016, the World Health Organization declared Zika virus a global public health emergency. Zika infection during pregnancy can cause microcephaly and other fetal brain defects. To facilitate clinicians’ ability to detect Zika, various syndrome… read more -
Adaptation of GUARDIAN for Syndromic Surveillance During the NATO Summit
Content Type: Abstract
Special event driven syndromic surveillance is often initiated by public health departments with limited time for development of an automated surveillance framework, which can result in heavy reliance on frontline care providers and potentially miss… read more -
A Novel Syndrome Definition Validation Approach for Rarely Occurring Diseases
Content Type: Abstract
Early detection of rarely occurring but potentially harmful diseases such as bio-threat agents (e.g., anthrax), chemical agents (e.g., sarin), and naturally occurring diseases (e.g., meningitis) is critical for rapid initiation of treatment,… read more -
Impact of alternate diagnoses on the accuracy of influenza-like illness case definition used for H1N1 screening in the emergency department
Content Type: Abstract
In June 2009, the CDC defined a confirmed case of H1N1 as a person with an ILI and laboratory confirmed novel influenza A H1N1 virus infection. ILI is defined by the CDC as fever and cough and/or sore throat, in the absence of a known cause… read more -
Utility of Natural Language Processing for Clinical Quality Measures Reporting
Content Type: Abstract
Clinical quality measures (CQMs) are tools that help measure and track the quality of health care services. Measuring and reporting CQMs helps to ensure that our health care system is delivering effective, safe, efficient, patient-centered,… 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