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.
- 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.
For out of the box models please contact: contact@cogstack.org
Models configured in .env
../models/ mounted into the container under /home/models/
MODEL_NAME = '<NAME OF MODEL HERE.zip>'To build your own models please follow the tutorials outlined in MedCATtutorials
Note: This is currently under development
Start the Docker services by using docker-compose. This will build the necessary Docker images and start the services.
docker-compose up