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Displaying results 1 - 8 of 8
  • Modeling Clinician Detection Time of a Disease Outbreak Due to Inhalational Anthrax

    Content Type: Abstract

    We developed a probabilistic model of how clinicians are expected to detect a disease outbreak due to an outdoor release of anthrax spores, when the clinicians only have access to traditional clinical information (e.g., no computer-based alerts). We… read more
    … how clinicians are expected to detect a disease outbreak due to an outdoor release of anthrax spores, when the … Modeling_Clinician_Detection_Time_Of_A_Disease_Outbreak_Due_To_Inhalational_Anthrax.pdf 2 views Submitted by elamb … Modeling Clinician Detection Time of a Disease Outbreak Due to Inhalational Anthrax Christina Adamou, Gregory F. …
  • An automated influenza-like-illness reporting system using freetext emergency department reports

    Content Type: Abstract

    Current methods for influenza surveillance include laboratory confirmed case reporting, sentinel physician reporting of Influenza-Like-Illness (ILI) and chief-complaint monitoring from emergency departments (EDs). The current… read more
    … in that a patient’s chief complaint will not contain all signs and symptoms of a patient. A possible solution to … in that a patient’s chief complaint will not contain all signs and symptoms of a patient. A possible solution to … and Prevention, Atlanta, GA, 1999. 3 Two more people die from H1N1 in Pittsburgh area [online] 2009 cited. …
  • Building an automated Bayesian case detection system

    Content Type: Abstract

    Current practices of automated case detection fall into the extremes of diagnostic accuracy and timeliness. In regards to diagnostic accuracy, electronic laboratory reporting (ELR) is at one extreme and syndromic surveillance is at… read more
    … is an automated Bayesian diagnostic system that uses all available data types, for example, freetext ED … is an automated Bayesian diagnostic system that uses all available data types, for example, freetext ED reports, … UT, USA, on 1–2 December 2010. References 1 Que J, Tsui FC, Wagner MM. Timeliness study of radiology and …
  • Evaluating Syndrome Definitions in the Extended Syndromic Surveillance Ontology

    Content Type: Abstract

    The Extended Syndromic Surveillance Ontology (ESSO) is an open source terminological ontology designed to facilitate the text mining of clinical reports in English [1,2]. At the core of ESSO are 279 clinical concepts (for example, fever, confusion,… read more
    … designed an online survey that presented respondents with all the clinical concepts associated with each syndrome … have participated in the survey, with 14 completing all the questions. Although providing personal information … two from the UK NHS). Apart from one assistant professor, all the respondents had either ‘public health’, …
  • Challenges in adapting an natural language processing system for real-time surveillance

    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
    … made changes to the NLP system using a development set of 26 laboratory- verified Shigellosis cases and 20 …
  • A Bayesian Algorithm for Detecting CDC Category A Outbreak Diseases from Emergency Department Chief Complaints

    Content Type: Abstract

    This paper describes a Bayesian algorithm for diagnosing the CDC Category A diseases, namely, anthrax, smallpox, tularemia, botulism and hemorrhagic fever, using emergency department chief complaints. The algorithm was evaluated on real data and on… read more
    … Bayesian algo- rithms, has been reported to diagnose all of the CDC Category A diseases [2]. This paper describes … for the detection of anthrax in a simu- lated outbreak due to a windborne-release of anthrax spores. The false … In future work, we plan to evaluate its ability to de- tect the other CDC Category A diseases. We also plan …
  • Chief Complaint Preprocessing Evaluated on Statistical and Non-Statistical Classifiers

    Content Type: Abstract

    To determine whether preprocessing chief complaints before automatically classifying them into syndromic categories improves classification performance.
    … (85%) in preprocessing chief complaints. However, CCP did not exhibit an overall improvement in clas- sification …
  • Monitoring Febrile Syndromes from Chief Complaints: Is the Information There?

    Content Type: Abstract

    There exists no standard set of syndromes for syndromic surveillance, and available syndromic case definitions demonstrate substantial heterogeneity of findings constituting the definition. Many syndromic case definitions require… read more
    … often use chief complaints as input. Our objective was to de- termine whether chief complaints accurately repre- sent …