Displaying results 1 - 6 of 6
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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 … -
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… to incomplete, delayed reporting. Chief complaint (CC) based surveillance is limited in that a patient’s … the cost, delays, incompleteness and low specificity (for CC) in current methods of influenza surveillance is … to incomplete, delayed reporting. Chief complaint (CC) based surveillance is limited in that a patient’s chief … -
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… microorganisms, animal species, and specimen collection sites as potential early indicators of disease outbreaks. … microorganisms, animal species, and specimen collection sites as potential early indicators of disease out- breaks. … number, animal species, the anatomical collection site of the specimen, date of test result, and species of … -
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. … multiple data streams (OTC sales, Emergency Department visits, etc.) to detect both natural disease outbreaks (e.g. … (over-the-counter (OTC) sales, Emergency Department visits, etc.) to detect both natural disease outbreaks (e.g. … -
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 … to normalize the counts (e.g., emergency department visits) within a geographic region. This paper presents … -
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… blood cultures (OR=3.50) was associated with intensive care and necropsy. OR of <mean isolates:orders during 1st … practice. Clinic III included emergency, intensive care, necropsy, and preventive medicine CONCLUSIONS These …