Displaying results 9 - 13 of 13
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Reducing the Delay in Detecting an Influenza Epidemic with More Sensitive Case Detection Algorithms
Content Type: Abstract
Measures aimed at controlling epidemics of infectious diseases critically benefit from early outbreak recognition [1]. SSS seek early detection by focusing on pre-diagnostic symptoms that by themselves may not alarm clinicians. We have previously… read more -
Stakeholder Perspectives of Biosurveillance: a Qualitative Analysis
Content Type: Abstract
For more than a decade, biosurveillance systems (and more recently BioSense) have been employed in the United States. Efforts to drastically expand these surveillance capacities have been a national priority given concerns … read more -
The ALERT Algorithm: How to Simply Define a Period of Elevated Disease Incidence
Content Type: Abstract
Despite the number of infections, hospitalizations, and deaths from influenza each year, developing the ability to predict the timing of these outbreaks has remained elusive. Public health practitioners have lacked a reliable, easy-to-implement… read more -
Free-Text Processing To Enhance Detection Of Acute Respiratory Infections
Content Type: Abstract
Objective We asked to what extent computerized processing of the full free-text clinical documentation could enhance syndrome detection compared to the sole use of structured data elements from a comprehensive… read more -
Identifying Contextual Features to Improve the Performance of an Influenza-Like Illness Text Classifier
Content Type: Abstract
To understand the types of false positive cases identified by an Influenza-like illness (ILI) text classifier by measuring the prevalence of ILI-related concepts that are negated, hypothetical, include explicit mention of temporality, experienced by… read more