Displaying results 1 - 3 of 3
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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… of clinical reports for public health surveillance. Document … of documents to be annotated,management of a lexicon, document annotation using the lexicon,view of annotation results, document classification based on the annotations and summary … -
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… encoded in the Extended Syndromic Surveillance Ontology. Document … Proceedings of the Third International Workshop on Health Document Text Mining and Information Analysis (LOUHI 2011); … -
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… resources that can be applied to syndromic surveillance. Document … ontology. In: Proc. 3rd International Workshop on Health Document Text Mining and Information Analysis (LOUHI), Bled, …