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  • 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
    … free text chief com-plaints are challenging to work with, due to problems caused by linguistic variations such as … text chief com- plaints are challenging to work with, due to problems caused by linguistic variations such as … of unique words in the training set from 2,775 to 2,308. All the words changed in the test set by the preprocessor …
  • Content Type: Abstract

    To determine whether preprocessing chief complaints before automatically classifying them into syndromic categories improves classification performance.
    … (85%) in preprocessing chief complaints. However, CCP did not exhibit an overall improvement in clas- sification …