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Displaying results 1 - 4 of 4
  • Content Type: Abstract

    The main stay of recording patient data is the free text of electronic medical records (EMR). While stating the chief complaint and history of presenting illness in the patients ‘own words’, the rest of the electronic note is written by the provider… read more
    … often use boiler-plate templates from EMR pull-downs to document information on the patient in the form of … often use boiler-plate templates from EMR pull-downs to document information on the patient in the form of …
  • 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
    … Processing interoperability within the biomedical domain. Document … community, yet be expressive enough to encode a clinical document, a named entity, relationships between entities, … annotation tasks, information extraction tasks, and document and corpus evaluation tasks. Each Annotation is …
  • 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
    … currently in development to find duration assertions. Document … the parts of speech and words around medical concepts, document type and section headings. For this Pro-WATCH task, …
  • 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
    … Enduring Freedom/Operation Iraqi Freedom veterans. Document … to 3314, with an average of 17 symptom annotations per document. The number of annotations (unique mentions) for …