[HTML][HTML] Use and understanding of anonymization and de-identification in the biomedical literature: scoping review
R Chevrier, V Foufi, C Gaudet-Blavignac… - Journal of medical …, 2019 - jmir.org
Background The secondary use of health data is central to biomedical research in the era of
data science and precision medicine. National and international initiatives, such as the …
data science and precision medicine. National and international initiatives, such as the …
[HTML][HTML] Algorithms to anonymize structured medical and healthcare data: a systematic review
A Sepas, AH Bangash, O Alraoui, K El Emam… - Frontiers in …, 2022 - frontiersin.org
Introduction: Utilizing medical health data for secondary purposes such as research is
paramount for the development of better pharmaceuticals for patients and improving the …
paramount for the development of better pharmaceuticals for patients and improving the …
Utility-preserving anonymization for health data publishing
Background Publishing raw electronic health records (EHRs) may be considered as a
breach of the privacy of individuals because they usually contain sensitive information. A …
breach of the privacy of individuals because they usually contain sensitive information. A …
Design of privacy preserving model based on clustering involved anonymization along with feature selection
S Srijayanthi, T Sethukarasi - Computers & Security, 2023 - Elsevier
Healthcare services has become a hug transformation due to the number of disease
emerging at presently. Accordingly, enormous amount of data is generated regarding on the …
emerging at presently. Accordingly, enormous amount of data is generated regarding on the …
Quality costs in practice and an analysis of the factors affecting quality cost management
M Glogovac, J Filipovic - Total Quality Management & Business …, 2018 - Taylor & Francis
The objective of this paper is to expand the level of knowledge about quality costing in
current practice. The paper presents a study that was conducted on 186 companies …
current practice. The paper presents a study that was conducted on 186 companies …
Hierarchical anonymization algorithms against background knowledge attack in data releasing
Preserving privacy in the presence of adversary's background knowledge is very important
in data publishing. The k-anonymity model, while protecting identity, does not protect against …
in data publishing. The k-anonymity model, while protecting identity, does not protect against …
Privacy-preserving data cube for electronic medical records: An experimental evaluation
Introduction: The aim of this study is to evaluate the effectiveness and efficiency of privacy-
preserving data cubes of electronic medical records (EMRs). An EMR data cube is a …
preserving data cubes of electronic medical records (EMRs). An EMR data cube is a …
[PDF][PDF] Lightning: Utility-Driven Anonymization of High-Dimensional Data.
The ARX Data Anonymization Tool is a software for privacy-preserving microdata
publishing. It implements methods of statistical disclosure control and supports a wide …
publishing. It implements methods of statistical disclosure control and supports a wide …
[HTML][HTML] Privacy-enhancing ETL-processes for biomedical data
Background Modern data-driven approaches to medical research require patient-level
information at comprehensive depth and breadth. To create the required big datasets …
information at comprehensive depth and breadth. To create the required big datasets …
[HTML][HTML] Report of the Medical Image De-Identification (MIDI) Task Group-Best Practices and Recommendations
1.4 Support This project has been funded in whole or in part with Federal funds from the
National Cancer Institute, National Institutes of Health, under Contract No …
National Cancer Institute, National Institutes of Health, under Contract No …