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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… University of Pittsburgh, Pittsburgh, PA, USA E-mail: wendy.w.chapman@gmail.com Objective Adapt an existing natural language …