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Displaying results 1 - 8 of 9
  • 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
    … in that it assigns a probability that each visit falls within the syndrome rather than ruling the visit “in” or “out” of the syndrome. It is possible … classifiers in that it assigns a probability that each visit falls within the syndrome rather than ruling the visit …
  • The NGram CC Classifier: A Novel Method of Automatically Creating CC Classifiers Based on ICD9 Groupings

    Content Type: Abstract

    Syndromic surveillance of emergency department (ED) visit data is often based on computer algorithms which assign patient chief complaints (CC) to syndromes. ICD9 code data may also be used to develop visit classifiers for syndromic surveillance but… read more
    … Syndromic surveillance of emergency department (ED) visit data is often based on computer algorithms which … to syndromes. ICD9 code data may also be used to develop visit classifiers for syndromic surveillance but the ICD9 … Syndromic surveillance of emergency department (ED) visit data is often based on computer algorithms which …
  • Improvement in Performance of Ngram Classifiers with Frequent Updates

    Content Type: Abstract

      Syndromic surveillance of emergency department(ED) visit data is often based on computerized classifiers which assign patient chief complaints (CC) tosyndromes. These classifiers may need to be updatedperiodically to account for changes… read more
    …   Syndromic surveillance of emergency department(ED) visit data is often based on computerized classifiers which … Syndromic surveillance of emergency department (ED) visit data is often based on computerized classi- fiers …   Syndromic surveillance of emergency department(ED) visit data is often based on computerized classifiers which …
  • The Performance of a NGram Classifier for Patients' Chief Complaint Based on a Computerized Pick List Entry and Free Text in an Italian Emergency Department

    Content Type: Abstract

    Syndromic surveillance of emergency department (ED) visit data is often based on computer algorithms which assign patient chief complaints (CC) and ICD code data to syndromes. The triage nurse note (NN) has also been used for… read more
    … Syndromic surveillance of emergency department (ED) visit data is often based on computer algorithms which … Syndromic surveillance of emergency department (ED) visit data is often based on computer algorithms which … Syndromic surveillance of emergency department (ED) visit data is often based on computer algorithms which …
  • Investigating Syndromic Peaks Using Remotely Available Electronic Medical Records

    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
    … or absence of selected pertinent data elements for each visit, and also to assign each visit to one or more defined GI and RESP sub-syndromes. The … in separate data fields in a granular fashion: date of visit, age, gender, chief complaint, vital signs (including …
  • 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
    … for detecting anomalies in daily emergency depart- ment visit data for 130 hospitals with 6 syndrome categories. …
  • 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
    … was possibly infectious in origin. We did not count the visit within a GI sub-syndrome if another specific etiology …
  • A Case Manager Tool for Anomaly Investigation in BioSurveillance

    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
    … New York, for the years 1996-2005. The record for each visit includes hospital, patient geography …