Displaying results 1 - 3 of 3
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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… 10,161 chief complaints not previously involved in CoCo’s training to measure the propor- tion of chief complaints … We counted the number of unique words in the train- ing set for CoCo 3.0 prior to and post preprocessing, … plaints and decreased the number of unique words in the training set from 2,775 to 2,308. All the words changed in … -
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… the first stage, we used structured data and BioSense and ESSENCE ICD 9 codes on records during the study period … -
Can Chief Complaints Identify Patients with Febrile Syndromes?
Content Type: Abstract
Syndromic surveillance systems often classify patients into syndromic categories based on emergency department (ED) chief complaints. There exists no standard set of syndromes for syndromic surveillance, and the available syndromic case… read more… for the early notification of community-based epidemics (ESSENCE II). J Urban Health 2003;80(Suppl 1):i32–42. 22. …