Displaying results 1 - 4 of 4
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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 … or “out” of the syndrome. It is possible to dichotomize visits “in” or “out” using N-grams by choosing a cut-off … -
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 … Specificity “HEST” (.84) “COUG” (.93) “FEVE” (.47) y Advances in Disease Surveillance 2007;2:1 … A number of … -
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 … CC classifier versus RESP ICD10 Grouping (Test Set) y = 0.642x + 3.0498 R = 0.88 0 5 10 15 20 25 30 35 0 5 10 15 … -
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 meningitis scare, the “Clinton” chest pain effect, ED visits related to possible anthrax exposure around October … management system. The use of the case manager for ED visits and ELR supports our operational experience of data …