Displaying results 265 - 272 of 4429
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 moreApproaches 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 moreArizona'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 moreAssessing 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.