Displaying results 1 - 5 of 5
-
Towards Tracking Opium Related Discussions in Social Media
Content Type: Abstract
In recent years, the use of social media has increased at an unprecedented rate. For example, the popular social media platform Reddit (http://www.reddit.com) had 83 billion page views from over 88,000 active sub-communities (subreddits) in 2015.… read more… the popular social media platform Reddit ( http://www.reddit.com ) had 83 billion page views from over 88,000 active … example, the popular social media platform Reddit (http://www.reddit.com) had 83 billion page views from over 88,000 active … -
Opioid Surveillance using Social Media: How URLs are shared among Reddit members
Content Type: Abstract
Nearly 100 people per day die from opioid overdose in the United States. Further, prescription opioid abuse is assumed to be responsible for a 15-year increase in opioid overdose deaths. However, with increasing use of social media comes increasing… read more… popular social interaction sites like Reddit ( http://www.reddit.com ), which had more than 82.5 billion page views in 20153. … popular social interaction sites like Reddit (http://www.reddit.com), which had more than 82.5 billion page views in 20153. … -
Evaluating Syndrome Definitions in the Extended Syndromic Surveillance Ontology
Content Type: Abstract
The Extended Syndromic Surveillance Ontology (ESSO) is an open source terminological ontology designed to facilitate the text mining of clinical reports in English [1,2]. At the core of ESSO are 279 clinical concepts (for example, fever, confusion,… read more… Syndromic Surveillance Ontology: http://code.google. com/p/ss-ontology/. 3. Chapman W, Dowling J, Baer A, … *Mike Conway E-mail: michaelambroseconway@gmail.com (page number not for citation purpose) Table 1. Concepts … 11198 - DOI: 10.3402/ehtj.v4i0.11198 http://code.google.com/p/ss-ontology/ http://code.google.com/p/ss-ontology/ … -
Using cKASS to facilitate knowledge authoring and sharing for syndromic surveillance
Content Type: Abstract
Mining text for real-time syndromic surveillance usually requires a comprehensive knowledge base (KB) which contains detailed information about concepts relevant to the domain, such as disease names, symptoms, drugs, and radiology findings. Two such… read more… modify and publish customized syndrome definitions con- structed from either publicly available or user-created … -
A web-based platform to support text mining of clinical reports for public health surveillance
Content Type: Abstract
PyConTextKit is a web-based platform that extracts entities from clinical text and provides relevant metadata - for example, whether the entity is negated or hypothetical - using simple lexical clues occurring in the window of text surrounding the… read more… processing; ontology; text mining References 1. Chapman WW, Chu D, Dowling JN. ConText: An algorithm for identifying … 2007:81�8. 2. Chapman BE, Lee S, Kang, HP, Chapman WW. Document-level classification of CT pulmonary … 10.1016/j.jbi.2011.03.011. 3. Okhamatovskaia A, Chapman WW, Collier N, Espino J, Buck- eridge D. SSO: the syndromic …