Displaying results 1 - 3 of 3
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Identifying Syndromic Fingerprints in Reason Fields in Emergency Department or Telehealth Records using N-grams for Similarity Analysis
Content Type: Abstract
An N-gram is a sub-sequence of n items from a given sequence where n can be 1, 2,…, n and the items can be letters or words. N-gram models are widely used in statistical natural language processing [3]. In the syndromic surveillance context, N-grams… read more… reasons data for a particular syndrome, calculating all of the N-grams for this set and then selecting the most … reasons data for a particular syndrome, calculating all of the N-grams for this set and then selecting the most … N-gram vector was sorted in descending order. The top 25% of the sorted N-grams serve as a fingerprint for the … -
Extensibility in Semantic Web Description of Syndromic Surveillance Systems
Content Type: Abstract
The semantic web is an emerging technology for expressing rich descriptions of a problem domain in the form of ontologies. An ontology provides a domain specific knowledge base… read more… based review of common extensions has been performed for all three systems, where each use case corresponds to a … for bioter- rorism. Intelligent Systems, IEEE, 20(5):26, 2005. [4] CDC Early Aberration Reporting System (EARS), … -
Comparison of Aberration Detection Algorithms for Syndromic Surveillance
Content Type: Abstract
This paper describes a study of various aberration detection algorithms currently used in syndromic surveillance and one based on artificial neural networks developed at Guelph. The goal of the research is not to select one ìwinningî algorithm but… read more… so that a systems designer can successfully use all of these algorithms in an outbreak detection system. … so that a systems designer can successfully use all of these algorithms in an outbreak detection system. … in the Kingston, Ontario, Canada area [4]. The time to de- tection, number of outbreak “alarms” and false posi- …