Deidentify app

Demo for AnonCAT. It uses MedCAT, an advanced natural language processing tool, to identify and classify sensitive information, such as names, addresses, and medical terms.

Example

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]

Models configured in .env ../models/ mounted into the container under /home/models/

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