Privacy-Preserving Clinical Language Model Training: A Comparative Study

This research explores a crucial area: training language models for sensitive medical data while safeguarding patient privacy. The comparative study likely assesses different privacy-preserving techniques, potentially highlighting trade-offs between accuracy and data protection.

• •Focuses on privacy-preserving methods for training clinical language models.
• •Compares different pipelines, implying a benchmarking of techniques.
• •Uses ICD-9 coding as a specific application domain.