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Displaying results 1 - 8 of 10
  • Ellipse-Based Clustering Analysis Using a Time Series Algorithm

    Content Type: Abstract

    Many cities in the US and the Center for Disease Control and Prevention have deployed biosurveillance systems to monitor regional health status. Biosurveillance systems rely on algorithms that analyze data in temporal domain… read more
    … to normalize the counts (e.g., emergency department visits) within a geographic region. This paper presents … of Biosurveillance: Academic Press; 2006. 2. Tsui F-C, Espino JU, et. al. Key design elements of a data … web service model. Proc AMIA Symp 2005. 3. Zhang J, Tsui FC, Wagner MM, Hogan WR. Detection of out- breaks from time …
  • Monitoring Pharmacy Retail Data for Anomalous Space-Time Clusters

    Content Type: Abstract

    Bio-surveillance systems monitor multiple data streams (over-the-counter (OTC) sales, Emergency Department visits, etc.) to detect both natural disease outbreaks (e.g. influenza) and bio-terrorist attacks (e.g. anthrax re-lease). Many detection… read more
    … (over-the-counter (OTC) sales, Emergency Department visits, etc.) to detect both natural disease outbreaks (e.g. … impressive results under simulated environments, but the com- plex behavior of real-world data and high costs asso- … bio-surveillance system. REFERENCES [1] Wagner MM, Tsui F-C, et al., A national retail data monitor for public …
  • 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
    … system using freetext emergency department reports F-C Tsui1, H Su1, J Dowling1, RE Voorhees2, JU Espino1, and … HK000063-01. References 1 Friedman C, Shagina L, Lussier Y, Hripcsak G. Automated encoding of clinical documents … area [online] 2009 cited. Available from: http://kdka.com/health/H1N1.flu.deaths. 2.1321133.html. Automated …
  • Evaluation of Microbiology Orders from a Veterinary Diagnostic Laboratory as a Potential Data Source for Early Outbreak Detection

    Content Type: Abstract

    Animals continue to be recognized as a potential source of surveillance data for detecting emerging infectious diseases, bioterrorism preparedness, pandemic influenza preparedness, and detection of other zoonotic diseases. Detection of disease… read more
    … that are used to detect outbreaks of infectious disease (26). This potential gain establishes the value of data for … (22) 2.8 Canine (41) Feline (20) Equine (11) 2.6 2.7 4.9 Ear (15) Nose (8) 9.2 17.2 32 91 E. coli (43) … MMWR Recomm Rep. 2004;53:1–11. 26. Wagner MM, Tsui FC, Espino JU, et al. The emerging science of very early …
  • Evaluation of Veterinary Diagnostic Laboratories as a Possible Data Source for Prospective Outbreak Surveillance

    Content Type: Abstract

    Current veterinary surveillance systems may be ineffective for timely detection of outbreaks involving non-targeted disease. Earlier detection could enable quicker intervention that might prevent the spread of disease and limit lost revenue. Data… read more
    … Current veterinary surveillance systems may be ineffective for timely detection of outbreaks … to those used for early outbreak surveillance in humans, may provide for earlier outbreak detection in animals. … BACKGROUND Current veterinary surveillance systems may be ineffective for timely detection of outbreaks …
  • Student Rotation in a Veterinary Teaching Hospital as a Potential Surveillance Confounder

    Content Type: Abstract

    Identifying potential biases and confounders that may affect data quality is an important consideration when evaluating surveillance systems. Having the benefit of predictable temporal trends is a key requirement to improve upon… read more
    … Identifying potential biases and confounders that may affect data quality is an important consideration … Further Information: Loren Shaffer, loren.shaffer@hmsinc.com www.hmsinc.com Advances in Disease Surveillance 2007;4:264 … …
  • A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases

    Content Type: Abstract

    We describe an automated system that can detect multiple outbreaks of infectious diseases from emergency department reports. A case detection system obtains data from electronic medical records, extracts features using natural language… read more
    … a probability distribution over the diseases each patient may have. Then, a multiple outbreak detection system (MODS) … a probability distribution over the diseases each patient may have. Then, a multiple outbreak detection system (MODS) …
  • 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
    … keyword search, and naïve Bayes. These techniques may utilize CC-to-syndrome or CC-to-symptom-to-syndrome … keyword search,3 and naïve Bayes.4 These techniques may utilize CC-to-syndrome or CC-to-symptom-to-syndrome … keyword search, and naïve Bayes. These techniques may utilize CC-to-syndrome or CC-to-symptom-to-syndrome …