Displaying results 1009 - 1016 of 1024
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Automated Detection of GI Syndrome using Structured and Non-Structured Data from the VA EMR
Content Type: Abstract
Objective We performed a gold-standard manual chart review for gastro-intestinal syndrome to evaluate automated detection models based on both structured and non-structured data extracted from the VA … read more… elements relevant to GI syndrome. REFERENCES 1. Chapman WW, Bridewell W, Hanbury P, Cooper GF, Buchanan BG. A simple … -
Fever Detection in Clinic Visit Notes Using a General Purpose Processor
Content Type: Abstract
With increased penetration of clinical information system products and increased interest in clinical data exchange, a variety of clinician’s notes are becoming available for surveillance. Chief complaints have been studied extensively, and… read more… system designed for the task. REFERENCES [1] Chapman WW, Dowling JN, Wagner MM. Fever detection from free-text … -
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… http://umlsks.nlm.nih.gov, 2007(Version 5.0). 2. Chapman WW, et.al. A simple algorithm for identifying negated … -
Text-Processing of VA Clinical Notes to Improve Case Detection Models for Influenza-like Illness
Content Type: Abstract
Objective There were two objectives of this analysis. First, apply text-processing methods to free-text clinician notes extracted from the VA electronic medical record for automated detection of Influenza-Like-Illness. Secondly,… read more… for detection of ILI cases. REFERENCES 1. Chapman WW, Bridewell W, Hanbury P, Cooper GF, Buchanan BG. A simple … -
Choice of Baseline Period for Limited Baseline Aberration Detection Methods
Content Type: Abstract
This paper evaluates the operating characteristics of limited baseline aberration detection methods using different lengths (7-28 days) and end dates (1-7 days prior to the current day) for the baseline period using simulated outbreaks added to real… read more… 2001. MMWR 2002 51: 13-15. [2] Hutwagner LC, Thompson WW, Seeman GM, Treadwell T. A simulation model for assessing … -
The association of influenza vaccination with Influenza-like illness among adults aged 65 years and older in the United States
Content Type: Abstract
After the 2009 H1N1 influenza pandemic, CDC initiated community-based surveillance of self-reported influenza-like illness (ILI)[1], defined as the presence of fever with cough or sore throat. Although ILI is frequently attributed to other pathogens… read more… Morb Mortal Wkly Rep. 2011; 60(2): 37�41. 2. Thompson WW, Shay DK, Weintraub E, et al. Mortality associated with … -
Google Flu Trends: Correlation with Emergency Department Influenza Rates and Crowding Metrics
Content Type: Abstract
Emergency Departments (ED) supply critical infrastructure to provide medical care in the event of a disaster or disease outbreak, including seasonal and pandemic influenza [1]. Already over-crowded and stretched to near-capacity, influenza activity… read more… Med. 2006;48:115�20. 2. Glaser CA, Gilliam S, Thompson WW, Dassey DE, Waterman SH, Saruwatari M, et al. Medical … -
Early Detection of Adverse Drug Events Using The Full Text of Letters to the Editor
Content Type: Abstract
Adverse drug events (ADEs) are a significant source of morbidity and mortality. The majority of post-marketing surveillance for ADEs is passive. Information regarding ADEs is reported to the medical community in peer-reviewed journals. However, in… read more… to the editor; signal detection References 1. Chapman WW, Chu D, Dowling JN. ConText: an algorithm for identifying …