Displaying results 465 - 472 of 1024
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Exploring Syndrome Definition by Applying Clustering Methods to Electronic Health Records Data
Content Type: Abstract
Electronic Health Record (EHR) data offers the researcher a potentially rich source of data for tracking disease syndromes. Procedures performed on the patient, medications… read more… (ESSENCE) were included in the analyses. All ESSENCE ICD9-CM code sets can be found at: http://www.geis.fhp.osd.mil/GEIS/SurveillanceActivi … surveillance syndromes. Additional analyses that will be con- ducted include using medications prescribed, and … -
Early Detection of Tuberculosis Outbreaks among the San Francisco Homeless
Content Type: Abstract
San Francisco has the highest rate of TB in the US. Although in recent years the incidence of TB has been declining in the San Francisco general population, it has remained relatively constant in the homeless population. Spatial… read more… and smaller amount of historical data is required com- pared to when census tracts are used as the spatial … -
Evaluation of Emergency Medical Text Processor for Pre-Processing Chief Complaint Data for Syndromic Surveillance
Content Type: Abstract
The goal of this project is to compare automated syn-dromic surveillance queries using raw chief complaints to those pre-processed with the Emergency Medical Text Processor (EMT-P) system.… syn- dromic surveillance queries using raw chief com- plaints to those pre-processed with the Emergency … -
GraphScan: Detection and Analysis of Free-Form Spatio-Temporal Patterns
Content Type: Abstract
By capturing the spatio-temporal organization of the data using a graph, GraphScan avoids the challenges associated with trying to “fit” incoming data into moving windows of predefined shapes and sizes. Whereas the popular space-time permutation… read more… every geo- graphical region has a spatial neighbourhood (com- posed of all the regions adjacent to it), it also has a … -
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.… by being able to raise an alert even if none of the com- ponent signals is critical, but if some of them are … -
Monitoring Dynamic Tempo-Spatial Changes of Influenza-Like Illness During 2005-2007 through Sentinal-Physician Surveillance in Taiwan Using Ring Maps
Content Type: Abstract
The global health threat of highly pathogenic avian influenza H5N1 has been increasing rapidly in the world since the crosscountry outbreaks during 2003-04. In South and East Asia, the human influenza A (H3N2) was proved to be seeded… read more… Republic of China ( R.O.C.) E-mail: <dachianpig@gmail.com> OBJECTIVE This study describes a visualizing ring maps … -
Classification of Emergency Department Syndromic Data for Seasonal Influenza Surveillance
Content Type: Abstract
We evaluated several classifications of emergency department (ED) syndromic data to ascertain best syndrome classifications for ILI.… and excluded one hospital that did not provide ED chief com- plaints. The weekly number of positive viral cultures … -
Data-Adapted Temporal Alerting Algorithms for Routine Health Monitoring
Content Type: Abstract
This paper discusses selection of temporal alerting algorithms for syndromic surveillance to achieve reliable detection performance based on statistical properties and the epidemiological context of the input data. We used quantities calculated from… read more… alerting algorithms involve four steps: preconditioning, com- putation of expected values, computation of test sta- …