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Related Experiment Video

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µ -ANT: semantic microaggregation-based anonymization tool.

David Sánchez1, Sergio Martínez1, Josep Domingo-Ferrer1

  • 1Universitat Rovira i Virgili, UNESCO Chair in Data Privacy, CYBERCAT-Center for Cybersecurity Research of Catalonia, Tarragona, Catalonia E-43007, Spain.

Bioinformatics (Oxford, England)
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Summary

A new tool, µ-ANT (microaggregation-based anonymization tool), facilitates secure secondary use of patient data. It ensures privacy while maintaining data utility for medical research.

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Area of Science:

  • Health Informatics
  • Data Privacy
  • Medical Research

Background:

  • Detailed patient data are vital for medical research.
  • Healthcare data require anonymization for secondary use to protect patient privacy.

Purpose of the Study:

  • To introduce µ-ANT, a configurable tool for anonymizing healthcare data.
  • To provide robust privacy guarantees while preserving data utility.

Main Methods:

  • Implementation of state-of-the-art anonymization techniques.
  • Support for heterogeneous attribute types common in electronic health records.

Main Results:

  • µ-ANT offers a practical solution for data anonymization.
  • The tool balances privacy protection with data utility preservation.

Conclusions:

  • µ-ANT is a valuable resource for practitioners and developers in healthcare data anonymization.
  • The tool enhances the secure usability of patient data for research.