µ -ANT: semantic microaggregation-based anonymization tool
| Autor: | Montserrat Batet, David Sánchez, Sergio Martínez, Josep Domingo-Ferrer, Jordi Soria-Comas |
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| Rok vydání: | 2019 |
| Předmět: |
Statistics and Probability
Biomedical Research Information retrieval Data anonymization Computer science Data_MISCELLANEOUS Sample (statistics) Patient data Semantics Biochemistry Computer Science Applications Computational Mathematics Computational Theory and Mathematics Privacy Data Anonymization Humans Molecular Biology Software |
| Zdroj: | Bioinformatics. |
| ISSN: | 1460-2059 1367-4803 |
| DOI: | 10.1093/bioinformatics/btz792 |
| Popis: | 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. Availability and implementation (source code, documentation, executable, sample datasets and use case examples) https://github.com/CrisesUrv/microaggregation-based_anonymization_tool. |
| Databáze: | OpenAIRE |
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