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

    Characterizing mentions found in clinical texts that support, refute, or represent uncertainty for suspected pneumonia is one area where automated Natural Language Processing (NLP) screening algorithms could be improved. Mentions of uncertainty and… read more
    … in healthcare: 1) probability or risk; 2) ambiguity – lack of reliability, credibility or adequacy of the … in healthcare: 1) probability or risk; 2) ambiguity – lack of reliability, credibility or adequacy of the …
  • Content Type: Abstract

    Twelve years into the 21st century, after publication of hundreds of articles and establishment of numerous biosurveillance systems worldwide, there is no agreement among the disease surveillance community on most effective technical methods for… read more
    … of method development cannot access surveillance data. Lack of data access is a formidable obstacle to developers … of method development cannot access surveillance data. Lack of data access is a formidable obstacle to developers …
  • Content Type: Abstract

     Syndromic surveillance systems often classify patients into syndromic categories based on emergency department (ED) chief complaints. There exists no standard set of syndromes for syndromic surveillance, and the available syndromic case… read more
    … of an outbreak (23). Near the end of a patient’s visit to a healthcare facility, detailed information about … approxi- mately 40,000 adult patients a year, and patient visit data have been stored in the Medical Archival System …
  • Content Type: Abstract

    We are developing a Bayesian surveillance system for realtime surveillance and characterization of outbreaks that incorporates a variety of data elements, including free-text clinical reports. An existing natural language processing (… read more
    … caused less by NLP technicalities than they are by the lack of a robust environment for NLP engineering, …