Displaying results 457 - 464 of 1295
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The New York State Department of Health’s Syndromic Surveillance System
Content Type: Abstract
The New York State Department of Health (NYSDOH) Syndromic Surveillance System consists of five components: 1. Emergency Department (ED) Phone Call System monitors unusual events or clusters of illnesses in the EDs of participating hospitals;… read more -
The NGram CC Classifier: A Novel Method of Automatically Creating CC Classifiers Based on ICD9 Groupings
Content Type: Abstract
Syndromic surveillance of emergency department (ED) visit data is often based on computer algorithms which assign patient chief complaints (CC) to syndromes. ICD9 code data may also be used to develop visit classifiers for syndromic surveillance but… read more -
The Performance of a NGram Classifier for Patients' Chief Complaint Based on a Computerized Pick List Entry and Free Text in an Italian Emergency Department
Content Type: Abstract
Syndromic surveillance of emergency department (ED) visit data is often based on computer algorithms which assign patient chief complaints (CC) and ICD code data to syndromes. The triage nurse note (NN) has also been used for… read more -
The Performance of Sub-Syndrome Chief Complaint Classifiers for the GI and RESP Syndromes
Content Type: Abstract
The Centers for Disease Control and Prevention BioSense has developed chief complaint (CC) and ICD9 sub syndrome classifiers for the major syndromes for early event detection and situational awareness. The prevalence of these sub… read more -
The Potential of Hospital Data Sources for Influenza Surveillance
Content Type: Abstract
Influenza is an important public health problem associated with considerable morbidity and mortality. A disease traditionally monitored via legally mandated reporting, researchers have identified alternative data sources for… read more -
The Potential of Syndromic Surveillance of Gastrointestinal Illness in the Community for Early Warning of Institutional Gastroenteritis Outbreaks
Content Type: Abstract
In 2004, the NSW Public Health Real-time Emergency Department Surveillance System operating in and around Sydney, Australia signalled a large-scale increase in Emergency Department (ED) visits for gastrointestinal illness (GI). A subsequent… read more -
The Predictive Accuracy of Non-Regression Data Analysis Methods
Content Type: Abstract
Analysis of time series data requires accurate calculation of a predicted value. Non-regression methods such as the Early Aberration Reporting System CuSum are computationally simple, but most do not adjust for day of week… read more -
The Role of National Retail Data Monitor (NRDM) in Gastrointestinal Illness Outbreak Investigation, Washoe County, Nevada
Content Type: Abstract
National Retail Data Monitor (NRDM) is a public health surveillance tool that collects and analyzes daily sales data for over-the-counter (OTC) health-care products from >15,000 retail stores nationwide. This is a system developed by Real-Time… read more