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 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 … symptoms that occurred recently and not historically. The document classification feature identifies documents … -
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… 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… ontology. In: Proc. 3rd International Workshop on Health Document Text Mining and Information Analysis (LOUHI), Bled, …