Displaying results 1 - 2 of 2
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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 … -
Comparing Syndromic Surveillances using Two Aspects: Emergency and Telehealth Data Sources
Content Type: Abstract
The objective of this paper is to examine the utility of Emergency Department and Telehealth data for Syndromic Surveillance. This works attempts to minimize false outbreak detection. It also demonstrates that these two data sources contain… read more… sensitive than the ED data for detecting outbreaks. This due to characteristics of the TH data. It is less variable …