Displaying results 1 - 5 of 5
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A Pilot Study of Aberration Detection Algorithms with Simulated Data
Content Type: Abstract
To evaluate four algorithms with varying baseline periods and adjustment for day of week for anomaly detection in syndromic surveillance data. read more -
The Performance of Sub-Syndrome Chief Complaint Classifiers for the GI and RESP Syndromes
Content Type: Abstract
The Centers for Disease Control and Prevention BioSense has developed chief complaint (CC) and ICD9 sub syndrome classifiers for the major syndromes for early event detection and situational awareness. The prevalence of these sub… read more -
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 -
ICD9 as a Surrogate for Chart Review in the Validation of a Chief Complaint Syndromic Surveillance System
Content Type: Abstract
The existing New York State Department of Health emergency department syndromic surveillance system has used patientâs chief complaint (CC) for assigning to six syndrome categories (Respiratory, Fever, Gastrointestinal, Neurological, Rash, Asthma… read more -
The evaluation of influenza surveillance data elements for the health information exchange minimum data set
Content Type: Abstract
The American Health Information Community Harmonized Use Case for the Biosurveillance minimum data set (MDS) was implemented to establish data exchange between regional health information organizations (RHIOs) and the New York State Department of… read more