Displaying results 17 - 24 of 32
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Performance of Sub-Syndrome Chief Complaint Classifiers for the GI Syndrome
Content Type: Abstract
The Centers for Disease Control and Prevention BioSense project has developed chief complaint (CC) and ICD9 sub-syndrome classifiers for the major syndromes for early event detection and situational awareness. This has the potential to… read more -
Rapid Identification of Pneumonias in BioSense Data Using Radiology Text Reports
Content Type: Abstract
BioSense currently receives demographic and chief complaint data from more than 360 hospitals and text radiology reports from 36 hospitals. Detection of pneumonia is an important as several Category A bioterrorism diseases as well as avian influenza… read more -
Representativeness of Emergency Department Data Reported to the BioSense System
Content Type: Abstract
In 2007, the CDC BioSense System received data from 450 non-federal hospitals. Hospitals provide data to Biosense based on their capability and willingness to supply electronic data. As of July 2008, Biosense is receiving data from 550 hospitals.… read more -
Results from the BioSense Jurisdiction-Specific Wbinars
Content Type: Abstract
BioSense is a Centers for Disease Control and Prevention (CDC) national near real-time public health surveillance system. CDC’s BioIntelligence Center (BIC) analysts monitor, analyze, and interpret BioSense data daily and provide support to BioSense… 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. -
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 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. -
Surveillance of West Nile Virus Activity Using Biosense Laboratory Test Order Data
Content Type: Abstract
West Nile Virus (WNV) is a mosquito-borne virus that can cause meningitis and encephalitis. Since its discovery in New York City during an encephalitis outbreak in 1999, WNV has become endemic in North America. In the United States, 16,000 human WNV… read more