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Displaying results 1 - 7 of 7
  • SyCo: A Probabilistic Machine Learning Method for Classifying Chief Complaints into Symptom and Syndrome Categories

    Content Type: Abstract

    Scientists have utilized many chief complaint (CC) classification techniques in biosurveillance including keyword search, weighted keyword search, and naïve Bayes. These techniques may utilize CC-to-syndrome or CC-… read more
    … Scientists have utilized many chief complaint (CC) classification techniques in biosurveillance … search, and naïve Bayes. These techniques may utilize CC-to-syndrome or CC-to-symptom-to-syndrome classification approaches. In the … BACKGROUND Scientists have utilized many chief complaint (CC) classification techniques in biosurveillance including …
  • 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
    … based on free-text chief complaints. Chief complaints (CC) demonstrate low to moderate sensitivity in identifying … based on free-text chief complaints. Chief complaints (CC) demonstrate low to moderate sensitivity in identify- ing … (lower three diamonds). ED Classifi- cation dominated CC Classification by a physician (), CoCo ( ), and MPLUS ( …
  • 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
    … the model assumes that a patient is only seen by a health care provider once (no return visits) and each clinician diagnoses a given case of IA … anthrax. Ann NY Acad Sci. 1980;353:83-93. 4. Penn CC, Klotz SA. Anthrax pneumonia Sem Resp Med 1997;12:28-30. …
  • Estimating the incidence of influenza cases that present to emergency departments

    Content Type: Abstract

    Our laboratory previously established the value of over-the-counter (OTC) sales data for the early detection of disease outbreaks. We found that thermometer sales (TS) increased significantly and early during influenza (flu) season.… read more
    … the following formula, which assumes that TS and ED visits are proportional to population size (pop) and that … symptoms (referred to as constitutional counts, CC) of people who come to EDs as a rough surrogate of ED flu … of predicting outcomes that are related to flu ED visits based on TS. Our results suggest that the use of TS, …
  • 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
    … used a previously developed anthrax out- break simulator (BARD), along with chief complaint probabilities taken from …
  • A Multivariate Bayesian Scan Statistic

    Content Type: Abstract

    This paper develops a new method for multivariate spatial cluster detection, the ìmultivariate Bayesian scan statisticî (MBSS). MBSS combines information from multiple data streams in a Bayesian framework, enabling faster and more accurate… read more
    … may include sources such as emergency department (ED) visits, with each stream representing a different chief …
  • A Bayesian Scan Statistic for Spatial Cluster Detection

    Content Type: Abstract

    This paper develops a new Bayesian method for cluster detection, the ìBayesian spatial scan statistic,î and compares this method to the standard (frequen-tist) scan statistic approach on the task of prospective disease surveillance.
    … included simulated anthrax out- breaks generated by the BARD simulator [4], as well as simpler outbreaks with linear …