Displaying results 1 - 2 of 2
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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… will support building a reference standard used for training and evaluation of a Natural Language Processing … will support building a reference standard used for training and evaluation of a Natural Language Processing … of clinician annotators. Annotated data can be used to train NLP tools for related surveillance tasks including … -
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… machine learning model, trained using annotations from a training corpus currently under devel- opment. A statistical … duration component of the symptom identifica- tion. The training corpus is expected to have duration assertions. The …