Displaying results 1 - 5 of 5
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Developing an application ontology for mining clinical reports: the extended syndromic surveillance ontology
Content Type: Abstract
Ontologies representing knowledge from the public health and surveillance domains currently exist. However, they focus on infectious diseases (infectious disease ontology), reportable diseases (PHSkbFretired) and internet surveillance… read more -
Challenges in adapting an natural language processing system for real-time surveillance
Content Type: Abstract
We are developing a Bayesian surveillance system for realtime surveillance and characterization of outbreaks that incorporates a variety of data elements, including free-text clinical reports. An existing natural language processing (… read more -
Identifying Depression-Related Tweets from Twitter for Public Health Monitoring
Content Type: Abstract
Major depressive disorder has a lifetime prevalence of 16.6% in the United States. Social media platforms – e.g. Twitter, Facebook, Reddit – are potential resources for better understanding and monitoring population-level mental health status over… read more -
Content Analysis of Tobacco-related Twitter Posts
Content Type: Abstract
Vast amounts of free, real-time, localizable Twitter data offer new possibilities for public health workers to identify trends and attitudes that more traditional surveillance methods may not capture, particu- larly in emerging areas of public… read more -
#wheezing: A Content Analysis of Asthma-Related Tweets
Content Type: Abstract
Recently, a growing number of studies have made use of Twitter to track the spread of infectious disease. These investigations show that there are reliable spikes in traffic related to keywords associated with the spread of infectious diseases like… read more