u-ANT

u-ANT anonymizes electronic health records and heterogeneous healthcare datasets using semantic microaggregation to protect patient privacy while preserving data utility for secondary research.

Key Features:

• Semantic Microaggregation: Implements semantic microaggregation that clusters records by semantic similarity to anonymize data while maintaining intrinsic relationships.
• Heterogeneous Data Support: Handles diverse attribute types commonly found in electronic health records and other healthcare data.
• Robust Privacy Guarantees: Provides privacy protection aimed at reducing re-identification risk for patient-level data to support secondary research.

Scientific Applications:

• Secondary Use of EHRs: Enables secure release of anonymized EHR datasets for secondary research analyses.
• Epidemiological Analyses: Supports epidemiological studies that require aggregated patient-level data while preserving privacy.
• Clinical Research and Trials: Facilitates sharing of anonymized clinical trial and clinical research datasets for downstream analysis.

Methodology:

Applies semantic microaggregation by clustering similar data points based on semantic similarity rather than purely statistical measures.