Displaying results 721 - 728 of 826
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Sensitivity and Specificity of an Ngram Method for Classifying Emergency Department Visits into the Respiratory Syndrome in the Turkish Language
Content Type: Abstract
Previously we developed an “Ngram” classifier for syndromic surveillance of emergency department (ED) chief complaints (CC) in Turkish for bioterrorism. The classifier is developed from a set of ED visits for which both the ICD… read more… Syndrome in the Turkish Language Philip Brown1, Cem Oktay MD2, Arif Alper Cevik MD3, Isa Kilicaslan MD2, … -
Design of Web-Based Detectability Evaluation Software that Interfaces with a Syndromic Surveillance System
Content Type: Abstract
To design detectability evaluation software that interfaces with the Realtime Outbreak and Disease Surveillance (RODS) System.… detectability of seasonal outbreaks due in part to con- straints on historical data that were imposed to reduce … -
Multilingual Chief Complaint Classifier
Content Type: Abstract
Free text chief complaints (CCs), which may be recorded in different languages, are an important data source for syndromic surveillance systems. For automated syndromic surveillance, CCs must be classified into predefined syndromic categories to… read more… CCs collected from a hospital in Phoenix and Chinese CCs col- lected from a hospital in Taipei, Taiwan, shows … -
Identifying and Modeling Spatial Patterns of Heat-Related Illness in New York City
Content Type: Abstract
This paper describes the spatial pattern of New York City (NYC) heat-related emergency medical services (EMS) ambulance dispatches and emergency department visits (ED) and explores how this information can be used in planning for and response to… read more… medical 911 calls coded into 52 broad call-types. ED data come from 48 of 62 NYC hospitals covering 90% of total ED … -
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… N-grams and their frequencies from a two year (2004-5) col- lection of classified ED and TH data. N-gram vectors … -
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… of the National Syndromic Surveil- lance Conference [CD-ROM]. Boston, MA: Fleetwood Multimedia, Inc.; 2004. Advances … -
Chief Complaint Preprocessing Evaluated on Statistical and Non-Statistical Classifiers
Content Type: Abstract
To determine whether preprocessing chief complaints before automatically classifying them into syndromic categories improves classification performance.… N. Dowling, MD, MS1, Debbie Travers, PhD, RN2, Gregory F. Coo- per, MD, PhD1, Wendy W. Chapman, PhD1 Department of … -
ROC Curves in Public Health Surveillance: A First Step in Cost-Benefit Analysis
Content Type: Abstract
Our purpose was to develop an ROC curve for public health surveillance similar to those used in diagnostic testing. We developed syndrome surveillance algorithms with differing sensitivity and specificity in detecting the seasonal influenza (ILI)… read more… was more specific for the ILI season. See Figure 1. We con- structed an ROC curve using increasing daily counts for …