Displaying results 1201 - 1208 of 4182
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An Adaptive Anomaly Detection Algorithm
Content Type: Abstract
Ideal anomaly detection algorithms shoulddetect both sudden and gradual changes, while keeping the background false positive alert rate at a tolerable level. The algorithms should also be easy to use. Our objective was to develop an anomaly… read more -
An Efficient Approach to Map LOINC Concepts to Notifiable Conditions
Content Type: Abstract
The objective of this project was to develop an efficient method to map Logical Observation Identifier Names and Codes (LOINC) to notifiable conditions to accommodate future changes in standard laboratory test codes. -
BioSense 2.0 Webinar: Data Quality Checks and Assurance
Content Type: Webinar
Presenters Caleb Wiedeman and Harold Gil will describe some of the processes their organizations use to ensure the quality of data in BioSense v2.0. First, Caleb Wiedeman will review his normal routine of verifying data quality, including checking… read more -
Data quality visualization for aggregate surveillance data with application to now-casting
Content Type: Webinar
This webinar will present a set of tools developed for visualizing data quality problems in aggregate surveillance data, in particular for data which accrues over a period of time. This work is based on a data quality analysis of aggregate data used… read more -
An Emergency Department Based Syndromic Surveillance System for Meningitis and Encephalitis, Maricopa County, AZ 2004
Content Type: Abstract
We developed, implemented and evaluated Meningitis and Encephalitis (M/E) syndrome case definitions based on electronic Emergency Department (ED) chief complaint data; and assessed their ability to detect aberrations that correspond with M/E… read more -
An Empirical Comparison of Spatial Scan Statistics for Outbreak Detection
Content Type: Abstract
We present a systematic empirical comparison of five recently proposed expectation-based scan statistics, in order to determine which methods are most successful for which spatial disease surveillance tasks. -
An Empirical Study of the Effect of Sentinel Sample Size in Syndromic Surveillance Using a Space-Time Permutation Method
Content Type: Abstract
Our goal was to assess the impact of sentinel sample size and criteria for a signal on performance of daily prospective space-time permutation detection by comparing results in varying size random samples from a large health plan to results found in… read more -
An Enterprise Information Integration (EII) Approach for a Syndromic Surveillance System
Content Type: Abstract
A comprehensive definition of a syndrome is composed of direct (911 calls, emergency departments, primary care providers, sensor, veterinary, agricultural and animal data) and indirect evidence (data from schools, drug stores, weather etc.).… read more