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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 … consistently applied to identify MUS found in VA clinical documents. These efforts will support building a … -
Text-Processing of VA Clinical Notes to Improve Case Detection Models for Influenza-like Illness
Content Type: Abstract
Objective There were two objectives of this analysis. First, apply text-processing methods to free-text clinician notes extracted from the VA electronic medical record for automated detection of Influenza-Like-Illness. Secondly,… read more… determine if use of data from free-text clinical documents can be used to enhance the predictive ability of … determine if use of data from free-text clinical documents can be used to enhance the predictive ability of …