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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
    … The classifier is developed from a set of ED visits for which both the ICD diagnosis code and CC are … in that it assigns a probability that each visit falls within the syndrome rather than ruling the visit … of an Ngram Method for Classifying Emergency Department Visits into the Respiratory Syndrome in the Turkish Language …
  • 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 … applies the ICD9 classifier to a training set of ED visits for which both the CC and ICD9 code are known. A …
  • 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 … automatically based on a training set of patient visits for which both the CC and ICD9 are available. This … Syndromic surveillance of emergency department (ED) visit data is often based on computerized classi- fiers …
  • 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 … The classifier is developed from a set of ED visits for which both the ICD diagnosis code and CC are … Syndromic surveillance of emergency department (ED) visit data is often based on computer algorithms which …
  • Optimizing Performance of an Ngram Method for Classifying Emergency Department Visits into the Respiratory Syndrome

    Content Type: Abstract

    A number of different methods are currently used to classify patients into syndromic groups based on the patient’s chief complaint (CC). We previously reported results using an “Ngram” text processing program for building classifiers… read more
    … applies the ICD9 classifier to a training set of ED visits for which both the CC and ICD9 code are known. A … and specificity of the Ngram CC classifier for individual visits using a ROC curve analysis. Points on the ROC curve … of an Ngram Method for Classifying Emergency Department Visits into the Respiratory Syndrome Philip Brown¹, Sylvia …
  • Talking Turkish: Using N-Grams for Syndromic Surveillance in a Turkish Emergency Department without the Need for English Translation

    Content Type: Abstract

    Previously we used an “N-Gram” classifier for syndromic surveillance of emergency department (ED) chief complaints (CC) in English for bioterrorism. The classifier is trained on a set of ED visits for which both the ICD diagnosis code and CC are… read more
    … bioterrorism. The classifier is trained on a set of ED visits for which both the ICD diagnosis code and CC are … bioterrorism. The classifier is trained on a set of ED visits for which both the ICD diagnosis code and CC are … University hospital ED in Turkey. Participants: All ED visits in the database for 2002. Protocol: Two of the …
  • 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
    … 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 …
  • An Adaptive Anomaly Detection Algorithm

    Content Type: Abstract

    Ideal anomaly detection algorithms shoulddetect both sudden and gradual changes, while keeping the background false positive alert rate at a tolerable level. The algorithms should also be easy to use. Our objective was to develop an anomaly… read more
    … C2 or C3 alert. The test data were time series of daily visits from two emergency departments (ED) for two … with the usual 2.0 cut-off for two EDs. ORIGINAL GI DAILY VISITS, ~19 MONTHS, ED1 GI 4-DAY OUTBREAKS ROC COMPARISON …