Displaying results 17 - 21 of 21
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Using NLP on VA Electronic Medical Records to Facilitate Epidemiologic Case Investigations
Content Type: Abstract
A major goal of biosurveillance is the timely detection of an infectious disease outbreak. Once a disease has been identified, another very important goal is to find all known cases of the disease to assist public health… read more -
Developing Syndrome Definitions Based on Consensus and Current Use
Content Type: Webinar
Presenter Wendy Chapman, PhD, Associate Professor, Division of Biomedical Informatics, UCSD School of Medicine Date Thursday, November 18, 2010 Host ISDS… read more -
Classifying Supporting, Refuting, or Uncertain Evidence for Pneumonia Case Review
Content Type: Abstract
Characterizing mentions found in clinical texts that support, refute, or represent uncertainty for suspected pneumonia is one area where automated Natural Language Processing (NLP) screening algorithms could be improved. Mentions of uncertainty and… read more -
Extending an Uncertainty Taxonomy for Suspected Pneumonia Case Review
Content Type: Abstract
Natural language processing algorithms that accurately screen clinical documents for suspected pneumonia must extract and reason about whether these mentions provide evidence that supports, refutes, or represents uncertainty. Our efforts extend… 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