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AnonCAT logo

Deidentify app

The Deidentify app is a tool for redacting and replacing sensitive information in a document. It uses MedCAT, an advanced natural language processing tool, to identify and classify sensitive information, such as names, addresses, and medical terms.

Example

AnonCAT Screenshot

Features

  • Redact sensitive information: The Deidentify app can automatically redact sensitive information from a document, replacing it with a placeholder value, such as "[REDACTED]".
  • Replace sensitive information: Alternatively, the app can replace sensitive information with a different value, such as a random name or address, to maintain the structure and context of the original document.
  • Add customizable rules: The app allows users to create custom rules for identifying and classifying sensitive information based on their specific needs and use cases.
  • Batch processing: The app can process multiple documents at once, making it easy to redact or replace sensitive information in large datasets.

DeID Model

For out of the box models please contact: [email protected]

  • Step 1: Upload your model to the models dir.

  • Step 2: In the file .env change the MODEL_NAME parameter to the file name of your model. Save the changes you made to the .env file.

MODEL_NAME = '<NAME OF MODEL HERE.zip>'

Build your own model

To build your own models please follow the tutorials outlined in MedCATtutorials

Note: This is currently under development

Starting the demo service

Start the Docker services by using docker-compose. This will build the necessary Docker images and start the services.

docker-compose up

Once the services are up and running, you can access the Deidentify app in your web browser by navigating to http://localhost:8002.

Setup from source

  • Install dependencies:
pip install -r requirements.txt
  • Set up the database:
python manage.py migrate

Frontend Dependencies

This project uses frontend dependencies managed by npm. To install them, follow these steps:

  1. Make sure you have Node.js and npm installed on your system.

  2. Navigate to the project's app directory.

  3. Run the following command to install the frontend dependencies:

    npm install
    npm run build

Run the app:

python manage.py runserver 8002