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Automated Detection of GI Syndrome using Structured and Non-Structured Data from the VA EMR
Content Type: Abstract
Objective We performed a gold-standard manual chart review for gastro-intestinal syndrome to evaluate automated detection models based on both structured and non-structured data extracted from the VA … read more… METHODS We randomly sampled 15,377 of 253,818 outpatient visits to the VA Maryland Health Care system (VAMHCS) and … Additionally, we searched for documentation on the index visit day of fever > 37.8ºC. RESULTS The ESSENCE and … The NegEx algorithm for text-processing detected 2,338 visits with non-negated vomiting or diarrhea or abdominal … -
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 …