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Table of Contents



Intended usages


Default configuration

Info

We recommend starting with the default properties and prebuilt train/test models.
The train and test models are anonymized feature sets (not text) generated by scrubber runtime.

Default configuration

Developers can use Scrubber 3.X in "default mode" with the same settings as the provided train and test model files. Input and output settings are managed in scrubber.properties (file paths, database settings, method implementations).

Info

scrubber.properties : all supported config options and features in one place.
Apache UIMA, Apache cTAKES, and WEKA distribution jars are loaded dynamically.

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  • 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 sets containing lexical properties, medical concept codes, and human defined rules

    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

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

    Compare Text

  • Compare lexical properties and distributions of public and private text sources

    How To


    Install / Train / Test / Scrub


    Office Word
    namescrubber-3.x-runtime-guide.doc
    Scrubber Property KEY = VALUE

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