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Displaying results 1 - 8 of 15
  • Evaluation of Preprocessing Techniques for Chief Complaint Classification

    Content Type: Abstract

    The Real-time Outbreak and Disease Surveillance system collects chief complaints as free text and uses a naïve Bayesian classifier called CoCo to classify the complaints into syndromic categories. CoCo 3.0 has been trained on 28,990 manually clas-… read more
    … clas-sified chief complaints. The free text chief com-plaints are challenging to work with, due to problems … clas- sified chief complaints. The free text chief com- plaints are challenging to work with, due to problems … is a statistical classifier, CoCo was already trained to cor- rectly classify the misspellings and abbreviations in …
  • Identifying Respiratory-Related Clinical Conditions from ED Reports with Topaz

    Content Type: Abstract

    Case detection from chief complaints suffers from low to moderate sensitivity. Emergency Department (ED) reports contain detailed clinical information that could improve case detection ability and enhance outbreak… read more
    … from ED reports, such as: How many new patients have come to the ED with acute lower respiratory symptoms? Of the … called Topaz can identify acute episodes of 55 clinical con- ditions described in emergency department notes. … from ED reports, such as: • How many new patients have come to the ED with acute lower respiratory symptoms? • Of …
  • Can Chief Complaints Identify Patients with Febrile Syndromes?

    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
    … database since 1990, including free-text triage chief com- plaints, dictated and transcribed ED reports, and coded … that only indicated a fever without describing a symp- tom of the syndrome (e.g., “High temp”). Figure 2 shows that … Seattle, Washington, September 2005. REFERENCES 1. http://www.cdc.gov/epo/dphsi/phs/syndromic.htm. Accessed April 22, …
  • 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
    … language processing system for real-time surveillance WW Chapman, M Conway, JN Dowling, F-C Tsui, Q Li, LM … Journal 2011, 4:s68. doi: 10.3134/ehtj.10.068 & 2011 WW Chapman et al.; licensee Emerging Health Threats Journal. www.eht-journal.org 7 challenges are caused less by NLP …
  • Developing an application ontology for mining clinical reports: the extended syndromic surveillance ontology

    Content Type: Abstract

    Ontologies representing knowledge from the public health and surveillance domains currently exist. However, they focus on infectious diseases (infectious disease ontology), reportable diseases (PHSkbFretired) and internet surveillance… read more
    … Pittsburgh, PA, USA E-mail: michaelambroseconway@gmail.com Objective To develop an application ontologyFthe … Conway et al.; licensee Emerging Health Threats Journal. www.eht-journal.org 15 radiology finding). Further, these … Health Threats Journal M Conway et al. 2011, 4:s73 www.eht-journal.org page 2/2 16 …
  • 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
    … Author JND manu- ally classified the patients’ chief com- plaints into febrile syndromic catego- ries using the … for manual classification of chief complaints when com- pared to criterion standard classification for five … Proc AMIA Annu Fall Symp 2002:1030. 2. Chapman WW, Dowling JN, Wagner MW. Gener- ating a reliable reference …
  • 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
    … Syndromic Surveillance Ontology: http://code.google. com/p/ss-ontology/. 3. Chapman W, Dowling J, Baer A, … *Mike Conway E-mail: michaelambroseconway@gmail.com (page number not for citation purpose) Table 1. Concepts … 11198 - DOI: 10.3402/ehtj.v4i0.11198 http://code.google.com/p/ss-ontology/ http://code.google.com/p/ss-ontology/ …
  • A Comparison of Chief Complaints and Emergency Department Reports for Identifying Patients with Acute Lower Respiratory Syndrome

    Content Type: Abstract

    Automated syndromic surveillance systems often classify patients into syndromic categories based on free-text chief complaints. Chief complaints (CC) demonstrate low to moderate sensitivity in identifying syndromic cases. Emergency Department (ED)… read more
    … a Random Forests Classifier. Gold Standard Classification com- prised majority vote of three physicians reading ED …