Displaying results 217 - 224 of 1294
-
Rapid Identification of Pneumonias in BioSense Data Using Radiology Text Reports
Content Type: Abstract
BioSense currently receives demographic and chief complaint data from more than 360 hospitals and text radiology reports from 36 hospitals. Detection of pneumonia is an important as several Category A bioterrorism diseases as well as avian influenza… read more -
Anomaly Pattern Detection for Biosurveillance
Content Type: Abstract
We propose a new method for detecting patterns of disease cases that correspond to emerging outbreaks. Our Anomaly Pattern Detector (APD) first uses a "local anomaly detector" to identify individually anomalous records and then searches over subsets… read more -
Anonymization of Spatial Data by Gaussian Skew: Is Re-Identification Possible?
Content Type: Abstract
To evaluate the robustness of a spatial anonymization algorithm for syndromic surveillance data against a triangulation vulnerability attack. `BACKGROUND We have published an anonymization algorithm that takes precise point locations for patients… read more -
Antiviral Prescription Data to Enhance Influenza Surveillance
Content Type: Abstract
Influenza surveillance provides public health officials and healthcare providers with data on the onset, duration, geographic location, and level of influenza activity in order to guide the local use of interventions. The Influenza Sentinel Provider… read more -
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. -
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.