Displaying results 2721 - 2728 of 4232
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Multilingual Chief Complaint Classifier
Content Type: Abstract
Free text chief complaints (CCs), which may be recorded in different languages, are an important data source for syndromic surveillance systems. For automated syndromic surveillance, CCs must be classified into predefined syndromic categories to… read more -
Multiple Data Sources and Reverse Engineering Could Improve Sensitivity of Surveillance Algorithms
Content Type: Abstract
Clinicians can pursue the clinical findings for specific patients until reaching a diagnosis in real time. When using electronic ED complaints, one relies on symptoms volunteered by patients in the triage setting. Patients seek emergency… read more -
Multivariate Time Series Analyses Using Primitive Univariate Algorithms
Content Type: Abstract
Time series analysis is very popular in syndromic surveillance. Mostly, public health officials track in the order of hundreds of disease models or univariate time series daily looking for signals of disease outbreaks. These time series can be… read more -
Predicting virologically confirmed influenza using school absences in PA
Content Type: Abstract
School-based influenza surveillance has been considered for real-time monitoring of influenza, as children 5-17 years old play an important role in community-level transmission. Objective To determine if all-cause and cause-… read more -
Multivariate Count Time Series Modeling of Surveillance Data
Content Type: Webinar
Surveillance data on various notifiable diseases usually consist of multiple time series of daily, weekly, or monthly counts of new infections. Data are typically reported in several strata defined through administrative geographical areas, gender… read more -
Mutual Benefits in Partnerships between Hospital-based and Public Health Department Syndromic Surveillance Systems in Outbreak Detection and Investigation
Content Type: Abstract
Syndromic surveillance has traditionally been used by public health in disease epidemiology. Partnerships between hospital-based and public health systems can improve efforts to monitor for disease clusters. Greenville Hospital System operates a… read more -
Natural Language Processing: Can it Help Detect Cases and Characterize Outbreaks?
Content Type: Abstract
Objective To demonstrate how natural language processing (NLP) of clinical records can contribute to case detection and characterization in biosurveillance. read more -
Navy Disease Reporting System Case Validation through Use of HL7 and SADR/SIDR Databases: Chlamydia Trachomatis
Content Type: Abstract
Reporting allows for the collection of statistics that show how often disease occurs, which helps researchers identify disease trends and track disease outbreaks. U.S. Navy has a modified list of reportable medical events to accommodate for… read more