Displaying results 225 - 232 of 367
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Building a Community of Practice
Content Type: Webinar
Presented September 27, 2018. This presentation offers practical tips on how to create a successful and sustainable community of practice. Presenter Deborah W. Gould, PhD., Division of Health Informatics and Surveillance,… read more… https://www.dau.mil/sites/governance-and-training/SitePages/Guide to Establishing Communities.aspx … https://www.dau.mil/sites/governance-and-training/SitePages/Guide to Establishing Communities.aspx … -
Anomaly Pattern Detection for Biosurveillance
Content Type: Abstract
We propose a new method for detecting patterns of disease cases that correspond to emerging outbreaks. Our Anomaly Pattern Detector (APD) first uses a "local anomaly detector" to identify individually anomalous records and then searches over subsets… read more… particular rules for the current (test) and historical (training) datasets. How- ever, an outbreak may create a … we compare it to the corres- ponding subset in the training data. For each rule R, we determine the total number of corresponding records in the test and training datasets (C(R)test and C(R)train) and the number of … -
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… 10,161 chief complaints not previously involved in CoCo’s training to measure the propor- tion of chief complaints … We counted the number of unique words in the train- ing set for CoCo 3.0 prior to and post preprocessing, … plaints and decreased the number of unique words in the training set from 2,775 to 2,308. All the words changed in … -
Infection Control Practitioner Use of NC DETECT
Content Type: Abstract
The UNC Department of Emergency Medicine (UNC DEM) conducted an online survey to better understand the surveillance needs of Infection Control Practitioners (ICPs) in North Carolina and solicit feedback on the utility of the North Carolina Disease… read more… of the reports available to ICPs and provide targeted training on the specific surveillance needs of ICPs. In … Program for Infection Control and Epidemiology (SPICE). Training should focus on the tools in NC DETECT that assist … -
Learning Specific Detectors of Adverse Events in Multivariate Time Series
Content Type: Abstract
This paper describes how powerful detectors of adverse events manifested in multivariate series of bio-surveillance data can be learned using only a few labeled instances of such events.… using domain expertise, if the amount of available training data is insufficient to support automated learning … for machine learning techniques which would allow for training specific detectors even if the number of iden- … improvement can be obtained by combining into the training data labels on false posi- tives with one, then … -
Enabling User-Driven Public Health Analyses through Automated Data Querying
Content Type: Abstract
Public health officials are now receiving more data than ever in electronic formats, and also stand to benefit more than ever from ongoing advances in the medical and epidemiological sciences. At the same time, this growing … read more… for the Early Notification of Community-Based Epidemics (ESSENCE II).” Journal of Urban Health, Volume 80(2)S1: … -
Enhanced Surveillance for Aedes Mosquitoes in the Arizona Border Region
Content Type: Case Study
In 2014, a dengue outbreak affected northern Mexico and travel-associated dengue cases increased in southern Arizona. While Arizona has not detected a local dengue case, local transmission occurred in Nogales, Sonora, sister city of Nogales, Arizona… read more… __X_ Cross-Agency Communication and Collaboration _X__ Training and Resources __X_ Technologies and Methodologies … ages and educational levels. By offering educational training sessions, we raised interest in the project and … -
A Framework for Evaluating Temporal Alerting Algorithms Used in Syndromic Surveillance Systems
Content Type: Abstract
This abstract describes a suite of software utilities that have been developed for systematically evaluating the detection performance and robustness of univariate temporal alerting algorithms used in syndromic surveillance systems.… terms of both detection performance and ro- bustness, the ESSENCE Univariate Alerting Algorithm Test Framework … performance of the principal alert- ing algorithm used in ESSENCE to the performance of the EARS C1, C2, and C3 …
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