Autor segons l'article: Sanchez, David; Martinez, Sergio; Domingo-Ferrer, Josep; Soria-Comas, Jordi; Batet, Montserrat
Departament: Enginyeria Informàtica i Matemàtiques
Autor/s de la URV: Batet Sanromà, Montserrat / Domingo Ferrer, Josep / Martinez Lluis, Sergio / Sánchez Ruenes, David / SORIA COMAS, JORGE
Paraules clau: Software Semantics Privacy Humans Data anonymization Biomedical research
Resum: © 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.
Àrees temàtiques: Statistics and probability Statistics & probability Odontología Nutrição Molecular biology Medicina veterinaria Medicina ii Medicina i Mathematics, interdisciplinary applications Mathematical & computational biology Matemática / probabilidade e estatística Interdisciplinar General medicine Engenharias iv Economia Computer science, interdisciplinary applications Computer science applications Computational theory and mathematics Computational mathematics Ciências biológicas iii Ciências biológicas ii Ciências biológicas i Ciências agrárias i Ciência da computação Biotecnología Biotechnology & applied microbiology Biology, miscellaneous Biodiversidade Biochemistry Biochemical research methods Astronomia / física
Accès a la llicència d'ús: https://creativecommons.org/licenses/by/3.0/es/
ISSN: 1367-4803
Adreça de correu electrònic de l'autor: montserrat.batet@urv.cat david.sanchez@urv.cat sergio.martinezl@urv.cat josep.domingo@urv.cat
Identificador de l'autor: 0000-0001-8174-7592 0000-0001-7275-7887 0000-0002-3941-5348 0000-0001-7213-4962
Pàgina final: 1653
Data d'alta del registre: 2024-10-12
Volum de revista: 36
Versió de l'article dipositat: info:eu-repo/semantics/submittedVersion
URL Document de llicència: https://repositori.urv.cat/ca/proteccio-de-dades/
Referència a l'article segons font original: Bioinformatics. 36 (5): 1652-1653
Referència de l'ítem segons les normes APA: Sanchez, David; Martinez, Sergio; Domingo-Ferrer, Josep; Soria-Comas, Jordi; Batet, Montserrat (2020). µ-ANT: Semantic Microaggregation-based Anonymization Tool. Bioinformatics, 36(5), 1652-1653. DOI: 10.1093/bioinformatics/btz792
Entitat: Universitat Rovira i Virgili
Any de publicació de la revista: 2020
Pàgina inicial: 1652
Tipus de publicació: Journal Publications
Repositori URV