µ-ANT: Semantic Microaggregation-based Anonymization Tool

Identificador:  imarina:6062426

Handle: https://hdl.handle.net/20.500.11797/imarina6062426

Autores:  Sánchez, D; Martínez, S; Domingo-Ferrer, J; Soria-Comas, J; Batet, M

Resumen:
© 2019 The Author(s). Published by Oxford University Press. Motivation: Detailed patient data are crucial for medical research. Yet, these healthcare data can only be released for secondary use if they have undergone anonymization. Results: We present and describe μ-ANT, a practical and easily configurable anonymization tool for (healthcare) data. It implements several state-of-the-art methods to offer robust privacy guarantees and preserve the utility of the anonymized data as much as possible. μ-ANT also supports the heterogenous attribute types commonly found in electronic healthcare records and targets both practitioners and software developers interested in data anonymization.