Displaying results 1 - 3 of 3
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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 -
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 -
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