Displaying results 305 - 312 of 1300
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HWR at the Contest: A Holt-Winters-Based Method Applied to Simulated Outbreaks
Content Type: Abstract
Objective: Ideal anomaly detection algorithms should detect both sudden and gradual changes, while keeping the background false positive alert rate at a tolerable level. Our objective was to develop an anomaly detection algorithm that adapts to the… read more -
Hybrid Probabilistic Modeling and Automated Data Fusion for Biosurveillance Applications
Content Type: Abstract
The increased threat of bioterrorism and naturally occurring diseases, such as pandemic influenza, continually forces public health authorities to review methods for evaluating data and reports. The objective of bio-surveillance is to automatically… read more -
ICD-9 CM Based Sub-Syndrome Distributions in BioSense Hospital Data
Content Type: Abstract
Objective To examine sub-syndrome distributions among BioSense emergency department (ED) chief complaint and final diagnosis based data and to observe patterns by hospital system, age, and gender. -
Minimizing False Alarms in Syndromic Surveillance
Content Type: Abstract
This paper describes a method of avoiding false alerts in automated syndromic surveillance algorithms which monitor the temporal relationship between a particular monitored syndrome (the ìtargetî) in relationship to other reference healthcare data… read more -
Mining Pattern Model of Influenza Surveillance
Content Type: Abstract
This paper presents an investigation using data mining techniques to model patterns of influenza from positive case demographics, symptoms and laboratory tests. -
Missouri's Syndromic Surveillance Experience
Content Type: Abstract
This abstract describes MissouriÃs experience with syndromic surveillance. Missouri has expanded from acquiring pre-tabulated data from volunteers to receiving patient-level data via electronic feeds from 85 hospitals across the state processed… read more -
Mixture Likelihood Ratio Scan Statistic for Disease Outbreak Detection
Content Type: Abstract
This article describes the methodology and results of Team #134Ãs submission to the 2007 ISDS Technical Contest. -
Modeling Clinician Detection Time of a Disease Outbreak Due to Inhalational Anthrax
Content Type: Abstract
We developed a probabilistic model of how clinicians are expected to detect a disease outbreak due to an outdoor release of anthrax spores, when the clinicians only have access to traditional clinical information (e.g., no computer-based alerts). We… read more