Displaying results 1 - 8 of 21
-
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 -
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 -
An ISDS-Based Initiative for Conventions for Biosurveillance Data Analysis Methods
Content Type: Abstract
Twelve years into the 21st century, after publication of hundreds of articles and establishment of numerous biosurveillance systems worldwide, there is no agreement among the disease surveillance community on most effective technical methods for… 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 -
A Comparison of Chief Complaints and Emergency Department Reports for Identifying Patients with Acute Lower Respiratory Syndrome
Content Type: Abstract
Automated syndromic surveillance systems often classify patients into syndromic categories based on free-text chief complaints. Chief complaints (CC) demonstrate low to moderate sensitivity in identifying syndromic cases. Emergency Department (ED)… read more -
Evaluation of Preprocessing Techniques for Chief Complaint Classification
Content Type: Abstract
The Real-time Outbreak and Disease Surveillance system collects chief complaints as free text and uses a naïve Bayesian classifier called CoCo to classify the complaints into syndromic categories. CoCo 3.0 has been trained on 28,990 manually clas-… read more -
Chief Complaint Preprocessing Evaluated on Statistical and Non-Statistical Classifiers
Content Type: Abstract
To determine whether preprocessing chief complaints before automatically classifying them into syndromic categories improves classification performance.