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µ -ANT: semantic microaggregation-based anonymization tool
Author(s) -
David Sánchez,
Sergio Mart́ınez,
Josep DomingoFerrer,
Jordi Soria-Comas,
Montserrat Batet
Publication year - 2019
Publication title -
bioinformatics
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btz792
Subject(s) - executable , computer science , documentation , source code , software , data mining , code (set theory) , data anonymization , health records , health care , data science , information privacy , computer security , programming language , set (abstract data type) , economics , economic growth
Detailed patient data are crucial for medical research. Yet, these healthcare data can only be released for secondary use if they have undergone anonymization.

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