De-identification Playground: A Demo by Segmed
Segmed provides a de-identification playground that uses LLMs to remove PHI. This platform serves as a demonstration and should not be used for production PHI removal
Features
- LLM-based De-identification: The platform uses LLMs (Latent Dirichlet Allocation) for effective removal of Personally Identifiable Information (PHI).
- Data Security: No data is saved or stored, ensuring the absolute safety of user data.
- Potential Service: Interested parties can reach out to Segmed for possibly exploring De-identification as a service.
Use Cases:
- Data De-identification Demo: The platform can be used to get a feel of how de-identification works, useful for those interested in the concept and process.
- De-Id Service Inquiry: Potential users or companies can understand the performance of Segmed's de-identification process and contact them for enquiries about the possible service.
The De-identification Playground by Segmed is a great way to understand the process of PHI removal using LLMs. Although not meant for production use, this demo assures users of data privacy. Its possible service is an added attraction for interested entities.
Segmed AI Alternatives:
1. PrivateGPT
PrivateGPT safeguards personal information during language learning model use.
2. Predictionguard
Prediction Guard is a tool for secure, compliant usage of Large Language Models in business.
4. Lamini
Lamini provides a platform for building custom, high-performance private LLMs.
5. SafeGPT
SafeGPT detects errors, privacy issues, and biases in Large Language Models.
