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Displaying results 9 - 16 of 18
  • 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
    … and Prevention BioSense has developed chief complaint (CC) and ICD9 sub syndrome classifiers for the … department population and the performance of these CC classifiers have been little studied. Chart reviews have … by chart reviews to estimate the performance of a CC classifier.   Objective To determine the prevalence of …
  • Content Type: Abstract

    The existing New York State Department of Health emergency department syndromic surveillance system has used patient’s chief complaint (CC) for assigning to six syndrome categories (Respiratory, Fever, Gastrointestinal, Neurological, Rash, Asthma… read more
    … surveillance system has used patient’s chief complaint (CC) for assigning to six syndrome categories (Respiratory, … Rash, Asthma). The sensitivity and specificity of the CC computer algorithms that assign CC to syndrome categories … process and allow us to survey a much larger sample of visits. Document …
  • Content Type: Abstract

    Patient’s chief complaint (CC) is often used for syndromic surveillance for bioterrorism and outbreak detection, but little is known about the inter-hospital variability in the sensitivity of this method. Objective: Our objective was to… read more
    … Patient’s chief complaint (CC) is often used for syndromic surveillance for … characterize the variability of a gastrointestinal (GI) CC text-matching algorithm. 7 views Submitted by elamb on … Patient’s chief complaint (CC) is often used for syndromic surveillance for …
  • 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
    … BioSense project has developed chief complaint (CC) and ICD9 sub-syndrome classifiers for the … value of New York State hospital emergency department CC classifiers for patients < 60 months of age and > 60 … York State hospital emergency department chief complaint (CC) classifiers for patients < 60 months of age and > 60 …
  • Content Type: Abstract

    The CDC recently developed sub-syndromes for classifying disease to enhance syndromic surveillance of natural outbreaks and bioterrorism. They have developed ICD9 classifiers for six GI Illness subsyndromes: Abdominal Pain,… read more
    … infections, and Food poisoning. If the number of visits for sub-syndromes varies significantly by age it may … VARIATION IN VISITS CLASSIFIED BY GI ICD9 BIOSURVEILLANCE SUB-FILTERS AS … infections, and Food poisoning. If the number of visits for sub-syndromes varies significantly by age it may …
  • 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
    … for detecting anomalies in daily emergency depart- ment visit data for 130 hospitals with 6 syndrome categories. … adjustments for weekends. Methods: Daily chief complaint (CC) data from two New York hospital emergency departments … gastrointestinal (GI) or respiratory syndromes through NY CC syndrome classifiers. For each hospital and syndrome, the …
  • Content Type: Abstract

    One limitation of syndromic surveillance systems based on emergency department (ED) data is the time and expense to investigate peak signals, especially when that involves phone calls or visits to the hospital. Many EDs use electronic medical… read more
    … signals, especially when that involves phone calls or visits to the hospital. Many EDs use electronic medical … signals, especially when that involves phone calls or visits to the hospital. Many EDs use electronic medical … or absence of selected pertinent data elements for each visit, and also to assign each visit to one or more defined …
  • Content Type: Abstract

    Effective anomaly detection depends on the timely, asynchronous generation of anomalies from multiple data streams using multiple algorithms. Our objective is to describe the use of a case manager tool for combining anomalies into cases, and for… read more
    … of New Jersey include some 4.2 million records for ED visits to 24 hospitals in the New Jersey and New York, for the years 1996-2005. The record for each visit includes hospital, patient geography … the meningitis scare, the “Clinton” chest pain effect, ED visits related to possible anthrax exposure around October …