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Scrubber can use different classifier implementations without recompiling the software.
By default scrubber dynamically loads the popular WEKA C4.5 decision tree classifier with multi-class support.

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Functionality


Annotation


  • Annotate word tokens and redact PHI from physician notes
  • cTAKES lexical parsing and medical dictionary annotation
  • WEKA multi-class decision tree classifier (plugin default)
  • Protege UI support for human expert curators (reads output)
  • Generate feature set of lexical properties, medical concept codes, and human defined rules
  • Compare lexical properties of public and private text sources

  • Distinguish private patient data from coded medical concepts and commonly used words

    Models

  • Prebuilt train and test models can be imported to Weka (default), Matlab, or R
  • (default) Test your local physician notes without retraining
  • (optional) retrain model using local physician note samples, publications, and medical dictionaries

    Classification

  • Generate feature set of lexical properties, medical concept codes, and human defined rules
  • Compare lexical properties of public and private text sources
  • Distinguish private patient data from coded medical concepts and commonly used words

How-To Guide

Install
Train
Test

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