Displaying results 1 - 3 of 3
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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… and AV Gundlapalli1,2 1Salt Lake City VA Health Care System, Salt Lake City, UT, USA; and 2University of … Region one and four Data Warehouse, who received health care services between 1 January 2007 and 12 December 2010. … -
Identification of features for detection and prediction of homelessness from VA clinical documents
Content Type: Abstract
Homelessness in general is a major issue in the US today. The risk factors of homelessness are myriad, including inadequate income, lack of affordable housing, mental health and substance abuse issues, lack of social support, and nonadherence to… read more… and AV Gundlapalli1,2 1Salt Lake City VA Health Care System, Salt Lake City, UT, USA; and 2University of … -
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… Fiszman11, and O Bodenreider11 1VA Salt Lake City Health Care System, Salt Lake City, UT, USA; 2University of Utah, …