Displaying results 2225 - 2232 of 4294
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BioSense 2.0 Webinar: Using Surveillance to Prepare and Respond to Winter Weather: Extreme Cold, Ice, and Snow
Content Type: Webinar
For much of the United States, 2014 began with extreme cold and large snowstorms. As a result, surveillance practitioners around the country have been working to identify, gather, and analyze cold weather-related data. This presentation will focus… read more -
Identifying Clusters of Falls During the 2007-08 Winter Season in the BioSense System
Content Type: Abstract
The purposes of this study are to identify and characterize increases in emergency department (ED) visits for falls during the 2007-08 winter season. -
Identifying Contextual Features to Improve the Performance of an Influenza-Like Illness Text Classifier
Content Type: Abstract
To understand the types of false positive cases identified by an Influenza-like illness (ILI) text classifier by measuring the prevalence of ILI-related concepts that are negated, hypothetical, include explicit mention of temporality, experienced by… read more -
Identifying Fractures in BioSense Radiology Reports
Content Type: Abstract
The purposes of this study are to validate a keyword-based text parsing algorithm for identifying fractures and compare radiology results with chief complaint and ICD-9 final diagnoses. -
Identifying Respiratory-Related Clinical Conditions from ED Reports with Topaz
Content Type: Abstract
Case detection from chief complaints suffers from low to moderate sensitivity. Emergency Department (ED) reports contain detailed clinical information that could improve case detection ability and enhance outbreak… read more -
Identifying Syndromic Fingerprints in Reason Fields in Emergency Department or Telehealth Records using N-grams for Similarity Analysis
Content Type: Abstract
An N-gram is a sub-sequence of n items from a given sequence where n can be 1, 2,…, n and the items can be letters or words. N-gram models are widely used in statistical natural language processing [3]. In the syndromic surveillance context, N-grams… read more -
Impact of Health Education and Treatment Interventions on Urinary Schistosomiasis in School Children
Content Type: Abstract
Schistosomiasis is a chronic infection caused by flukes belonging to the genus Schistosoma. At least 200 million people, in 74 countries, are infected with the disease and at least 600 million are at risk of infection [1]. Like the majority of the… read more -
Improvement in Performance of Ngram Classifiers with Frequent Updates
Content Type: Abstract
Syndromic surveillance of emergency department(ED) visit data is often based on computerized classifiers which assign patient chief complaints (CC) tosyndromes. These classifiers may need to be updatedperiodically to account for changes… read more