Displaying results 1 - 7 of 7
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Standardization to aid interoperability between NLP system
Content Type: Abstract
There are a number of Natural Language Processing (NLP) annotation and Information Extraction (IE) systems and platforms that have been successfully used within the medical domain. Although these groups share components of their systems, there… read more… IE tools, corpus evaluation tools and encoded clinical documents. There are two components to a successful … IE tools, corpus evalu- ation tools and encoded clinical documents. There are two components to a successful … community, yet be expressive enough to encode a clinical document, a named entity, relationships between entities, … -
Extending an Uncertainty Taxonomy for Suspected Pneumonia Case Review
Content Type: Abstract
Natural language processing algorithms that accurately screen clinical documents for suspected pneumonia must extract and reason about whether these mentions provide evidence that supports, refutes, or represents uncertainty. Our efforts extend… read more… processing algorithms that accurately screen clinical documents for suspected pneumonia must extract and reason … processing algorithms that accurately screen clinical documents for suspected pneumonia must extract and reason … -
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 … -
Identifying Contextual Features to Improve the Performance of an Influenza-Like Illness Text Classifier
Content Type: Abstract
To understand the types of false positive cases identified by an Influenza-like illness (ILI) text classifier by measuring the prevalence of ILI-related concepts that are negated, hypothetical, include explicit mention of temporality, experienced by… read more… on symptoms, problems, or findings from electronic note documents. False positive extractions may be due to concepts … of these strings. Two reviewers annotated the same document set with a third reviewer completing a blinded … version of the text classifier applied to surveillance document sources was 75% and 27% with 569(4%) false positive … -
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, … -
Challenges in adapting an natural language processing system for real-time surveillance
Content Type: Abstract
We are developing a Bayesian surveillance system for realtime surveillance and characterization of outbreaks that incorporates a variety of data elements, including free-text clinical reports. An existing natural language processing (… read more… examining sentences causing the errors in separate text documents. We are building a framework to simplify results … a lexicon-building tool to mine synonyms from clinical documents and the UMLS Metathesaurus. Conclusions …