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Using clinician mental models to guide annotation of medically unexplained symptoms and syndromes found in VA clinical documents
Content Type: Abstract
Medically unexplained syndromes (MUS) are conditions that are diagnosed on the basis of symptom constellations and are characterized by a lack of well-defined pathogenic pathways. The three most common MUS are chronic fatigue … read more… consistently applied to identify MUS found in VA clinical documents. These efforts will support building a … ly_Unexplained_Symptoms_And_Syndromes_Found_In_Va_Clinical_Documents.pdf Submitted by hparton on Thu, 06/20/2019 - 16:38 … unexplained symptoms and syndromes found in VA clinical documents BR South1,2, M Palmer1, S Shen1,2, G Divita1,2, S … -
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… described in templated text that is difficult to process. Document … 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 …