Displaying results 265 - 272 of 4429
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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. -
Application of Nonlinear Data Analysis Methods to Locating Disease Clusters
Content Type: Abstract
Objective Cluster detection with a mechanism for reducing false alarms and increasing sensitivity. -
Development of Syndrome Definitions for Acute Unintentional Drug and Heroin Overdose
Content Type: Abstract
Nationally, deaths due to opioid overdose have continually increased for the past 15 years . Deaths specifically related to heroin increased more than four-fold between 2002 and 2014. Hospital inpatient discharge data provide information on non… read more -
Approaches to Prediction Models for Poison Control Center-Based Syndromic Surveillance for Foodborne Illness
Content Type: Abstract
To construct and validate a prediction algorithm that detects early increases in laboratory reports of enteric illnesses on the basis of calls to a poison control center reporting suspected foodborne illnesses. -
Argus: A Global Detection and Tracking System for Biological Events
Content Type: Abstract
Objective. This paper describes Project Argus, a novel foreign biological event detection and tracking system. -
Arizona's Integrated Influenza Surveillance for School Children
Content Type: Abstract
1) Describe ArizonaÃs integrated influenza surveillance for school children with a retrospective analysis of data from multiple sources including School-based Syndromic Surveillance Program (SSSP), laboratory-confirmed influenza case reports,… read more -
Arizona's Near Real Time School-based Syndromic Surveillance Program
Content Type: Abstract
1) Describe a near real-time school-based syndromic surveillance program that integrates electronic data records and a two-way health alert system for early outbreak detection, notification, and possible intervention for Arizona schools. 2)… read more -
Assessing and Optimizing the Accuracy of Physician Billing Claims for Use in Automated Syndromic Surveillance
Content Type: Abstract
To assess the accuracy of community-based physician claims for identifying 5 syndromes: fever, gastrointestinal, neurological, rash, and respiratory.