Displaying results 153 - 160 of 199
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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… of the relationship between words and symptoms given a training set of labeled chief complaints.5 To perform a … -
Special Event Data
Content Type: Use Case
Problem Summary A truncated historical dataset is provided from one or more subregions with multiple participating hospitals with enough variety in the patient volume and demographics to make the problem challenging and to generate alerting… read more… years’ data with all seasons could be used for training, the last year’s data for testing. c. The … -
First report on MRSA recovered from wild boars in the north of Portugal
Content Type: Case Study
Antibiotic resistance is an emerging public health concern and the scientific community recognizes the need to evaluate its epidemiology. Staphylococcus aureus (MRSA) are a key to this problem. Often found in the natural flora of the skin, nose and… read more… STUDY ___ Cross-Agency Communication and Collaboration __ Training and Resources ___ Technologies and Methodologies … -
Introduction to Public Health Surveillance
Content Type: Presentation Slides
Presented December 8, 2015 Dr. Richard S. Hopkins presented the following slides as part of the ISDS Intro to BioSurveillance Workshop at the 2015 ISDS Annual Conference in Denver, Colorado. This presentation demonstrates… read more… persons Evaluation and management of exposed people Training for doctors in the community Public education … -
Towards Integrated Syndromic Surveillance in Europe?
Content Type: Webinar
Triple - S is a project co-financed by the European commission through the Executive Agency for Health and Consumers. THe project encompasses an inventory of existing and proposed syndromic surveillance systems in Europe, including country visits… read more… Those considering and developing systems require training in syndromic data sources A framework rather than … -
Mining Intensive Care Vitals for Leading Indicators of Adverse Health Events
Content Type: Abstract
The status of each Intensive Care Unit (ICU) patient is routinely monitored and a number of vital signs are recorded at sub-second frequencies which results in large amounts of data. We propose an approach to transform this stream of raw vital… read more… each type of these automatically extracted events using training data, which contain actual health alerts, in … -
Web Search Query Data to Monitor Dengue Epidemics: a New Model for Dengue Surveillance
Content Type: Abstract
With an estimated 500 million people infected each year, dengue ranks as one of the most significant mosquito-borne viral human diseases, and one of the most rapidly emerging vectorborne diseases. A variety of obstacles including bureaucracy and… read more… prior to model fitting. The final models, fit using a training subset of the data, were cross-validated against … -
Electronic Tracking of Influenza-like Illness Incidence in an Outpatient Population
Content Type: Abstract
Using an electronic health record (EHR) system, we tracked an outpatient population from a series of primary care providers to identify influenza-like illness (ILI) as part of a multi-state effort directed by the Centers for Disease Control and… read more… denomi- nator along with the number of ILI cases. Proper training and selecting the right practice played a large …