Fabian Prasser
Fabian Prasser
Berlin Institute of Health @ Charité - Universitätsmedizin Berlin
Bestätigte E-Mail-Adresse bei - Startseite
Zitiert von
Zitiert von
ARX – A Comprehensive Tool for Anonymizing Biomedical Data
F Prasser, F Kohlmayer, KA Kuhn
Proceedings of the 2014 AMIA Annual Symposium, 2014
The use of machine learning in rare diseases: a scoping review
J Schaefer, M Lehne, J Schepers, F Prasser, S Thun
Orphanet journal of rare diseases 15, 1-10, 2020
Putting statistical disclosure control into practice: The ARX data anonymization tool
F Prasser, F Kohlmayer
Medical data privacy handbook, 111-148, 2015
Flash: efficient, stable and optimal k-Anonymity
F Kohlmayer, F Prasser, C Eckert, A Kemper, KA Kuhn
Proceedings of the 2014 International Conference on Privacy, Security, Risk …, 2012
Data integration for future medicine (DIFUTURE)
F Prasser, O Kohlbacher, U Mansmann, B Bauer, KA Kuhn
Methods of information in medicine 57 (S 01), e57-e65, 2018
Enhancing reuse of data and biological material in medical research: from FAIR to FAIR-health
MM Th, M MartinGillian, SO Ugur, B van OmmenGertJan
Biopreservation and biobanking, 2018
Flexible data anonymization using ARX—Current status and challenges ahead
F Prasser, J Eicher, H Spengler, R Bild, KA Kuhn
Software: Practice and Experience 50 (7), 1277-1304, 2020
A flexible approach to distributed data anonymization
F Kohlmayer, F Prasser, C Eckert, KA Kuhn
Journal of biomedical informatics 50, 62-76, 2014
Safepub: A truthful data anonymization algorithm with strong privacy guarantees
R Bild, KA Kuhn, F Prasser
Proceedings on Privacy Enhancing Technologies, 2018
Lightning: Utility-Driven Anonymization of High-Dimensional Data.
F Prasser, R Bild, J Eicher, H Spengler, F Kohlmayer, KA Kuhn
Trans. Data Priv. 9 (2), 161-185, 2016
The cost of quality: Implementing generalization and suppression for anonymizing biomedical data with minimal information loss
F Kohlmayer, F Prasser, KA Kuhn
Journal of biomedical informatics 58, 37-48, 2015
Design and evaluation of a data anonymization pipeline to promote Open Science on COVID-19
CEM Jakob, F Kohlmayer, T Meurers, JJ Vehreschild, F Prasser
Scientific data 7 (1), 435, 2020
The importance of context: Risk-based de-identification of biomedical data
F Prasser, F Kohlmayer, KA Kuhn
Methods of information in medicine 55 (04), 347-355, 2016
Privacy-preserving data sharing infrastructures for medical research: systematization and comparison
FN Wirth, T Meurers, M Johns, F Prasser
BMC Medical Informatics and Decision Making 21, 1-13, 2021
The Data Use Ontology to streamline responsible access to human biomedical datasets
J Lawson, MN Cabili, G Kerry, T Boughtwood, A Thorogood, P Alper, ...
Cell Genomics 1 (2), 2021
Citizen-centered mobile health apps collecting individual-level spatial data for infectious disease management: scoping review
FN Wirth, M Johns, T Meurers, F Prasser
JMIR mHealth and uHealth 8 (11), e22594, 2020
Ethical use of electronic health record data and artificial intelligence: recommendations of the primary care informatics working group of the international medical informatics …
ST Liaw, H Liyanage, C Kuziemsky, AL Terry, R Schreiber, ...
Yearbook of medical informatics 29 (01), 051-057, 2020
SCOR: A secure international informatics infrastructure to investigate COVID-19
JL Raisaro, F Marino, J Troncoso-Pastoriza, R Beau-Lejdstrom, R Bellazzi, ...
Journal of the American Medical Informatics Association, 1-14, 2020
A scalable and pragmatic method for the safe sharing of high-quality health data
F Prasser, F Kohlmayer, H Spengler, KA Kuhn
IEEE journal of biomedical and health informatics 22 (2), 611-622, 2017
Efficient distributed query processing for autonomous RDF databases
F Prasser, A Kemper, KA Kuhn
Proceedings of the 15th International Conference on Extending Database …, 2012
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