Displaying results 1 - 3 of 3
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Finding medically unexplained symptoms within VA clinical documents using v3NLP
Content Type: Abstract
Pro-WATCH (protecting war fighters using algorithms for text processing to capture health events), a syndromic surveillance project for veterans of operation enduring freedom (OEF)/operation Iraqi freedom (OIF), includes a task to identify medically… read more… USA; and 2University of Utah, Salt Lake City, UT, USA E-mail: guy.divita@hsc.utah.edu Objective Pro-WATCH … -
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… USA; and 2University of Utah, Salt Lake City, UT, USA E-mail: brett.south@hsc.utah.edu Objectives We sought to … -
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… Indianapolis, IN, USA; and 11NLM, Bethesda, MD, USA E-mail: guy.divita@hsc.utah.edu Objective The Consortium for …