Results 21 to 30 of about 18,314 (208)

Improving MapReduce privacy by implementing multi-dimensional sensitivity-based anonymization

Journal of Big Data, 2017
Big data is predominantly associated with data retrieval, storage, and analytics. Data analytics is prone to privacy violations and data disclosures, which can be partly attributed to the multi-user characteristics of big data environments.
Mohammed Al-Zobbi, Seyed Shahrestani, Chun Ruan   +2 more
doaj   +1 more source

Data Anonymization through Collaborative Multi-view Microaggregation

Journal of Intelligent Systems, 2020
The interest in data anonymization is exponentially growing, motivated by the will of the governments to open their data. The main challenge of data anonymization is to find a balance between data utility and the amount of disclosure risk.
Zouinina Sarah, Bennani Younès, Rogovschi Nicoleta, Lyhyaoui Abdelouahid   +3 more
doaj   +1 more source

Algorithms to anonymize structured medical and healthcare data: A systematic review

Frontiers in Bioinformatics, 2022
Introduction: With many anonymization algorithms developed for structured medical health data (SMHD) in the last decade, our systematic review provides a comprehensive bird’s eye view of algorithms for SMHD anonymization.Methods: This systematic review ...
Ali Sepas, Ali Sepas, Ali Haider Bangash, Ali Haider Bangash, Omar Alraoui, Khaled El Emam, Alaa El-Hussuna   +6 more
doaj   +1 more source

Evaluating the Impact of Face Anonymization Methods on Computer Vision Tasks: A Trade-Off Between Privacy and Utility

IEEE Access
Data anonymization is an essential prerequisite that enables data sharing in a privacy-preserving manner. However, anonymization affects the quality of the data and thus might affect the performance of later conducted data analysis.
Roland Stenger, Steffen Busse, Jonas Sander, Thomas Eisenbarth, Sebastian Fudickar   +4 more
doaj   +1 more source

Utility-driven assessment of anonymized data via clustering

Scientific Data, 2022
In this study, clustering is conceived as an auxiliary tool to identify groups of special interest. This approach was applied to a real dataset concerning an entire Portuguese cohort of higher education Law students.
Maria Eugénia Ferrão, Paula Prata, Paulo Fazendeiro   +2 more
doaj   +1 more source

Analytics on Anonymity for Privacy Retention in Smart Health Data

Future Internet, 2021
Advancements in smart technology, wearable and mobile devices, and Internet of Things, have made smart health an integral part of modern living to better individual healthcare and well-being.
Sevgi Arca, Rattikorn Hewett
doaj   +1 more source

Leukemia and Exposure to Potential Benzene Sources in Children From the Mexico City Metropolitan Area, 2010–2021: A Geospatial Analysis

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Leukemia is the most common childhood cancer in Mexico, and acute lymphoblastic leukemia (ALL) is the most frequent subtype. Exposure to high concentrations of benzene has been associated with ALL incidence, particularly in urban areas. This study evaluated the relationship between distance to benzene emission sources and the number
Orlando Rivera Zurita, Norma Candelaria López Santiago, Claudia Maria García Cuellar, Karla Maldonado Silva, Nancy Reynoso Noverón, Leticia Hernández Cadena   +5 more
wiley   +1 more source

Clinical, Histopathological, and Molecular Characterization of Pediatric MN1::ZNF341‐Associated Cancer

Pediatric Blood &Cancer, EarlyView.
ABSTRACT A lethal round‐cell malignancy with an MN1::ZNF341 fusion has recently been reported in three infants. Here, we describe four further tumors, three in newborns (including monozygotic twins), and one in an adolescent. Detailed clinical, radiological, and histopathological data differentiate these tumors from their main mimics, neuroblastoma and
Thomas R. W. Oliver, Dyanne Rampling, Barbara Walkowiak, Nathaniel D. Anderson, Manas Dave, Henry Lee‐Six, Sadie Baskind, Pooja Balasubramanian, Glenn Anderson, Conor Parks, Toochi Ogbonnah, Emilia R. Robertson, Simon Hannam, Rohan Verma, John C. Achermann, Liina Palm, Neil Sebire, Thomas Jacques, Tom Watson, Carryl Dryden, Karin Straathof, Mette Jorgensen, Olga Slater, Sam Behjati, Sarita Depani, J. Ciaran Hutchinson   +25 more
wiley   +1 more source

Animal‐Assisted Activities With Therapy Dogs in Pediatric Oncology: A Multicenter Survey of the Current Status, Implementation, and Challenges in Germany, Austria, and Switzerland

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Animal‐assisted activities (AAAs) with therapy dogs have shown positive effects on patient well‐being and quality of life in various areas of medicine, including pediatric oncology. However, research on this topic is limited. The aim of this study is to present the current status of AAA in pediatric oncology in Germany, Austria, and
Jan‐Marius Wedig, Birgit Burkhardt, Christof M. Kramm, Kira Ostermann, Sarah C. Goretzki, Uta Dirksen, Nico Kurpiers, Michael M. Schündeln   +7 more
wiley   +1 more source

Implementation of a big data anonymization system based on Spark

Dianxin kexue, 2018
Group based anonymization is a classical data anonymization framework,which achieves the effect of privacy protection by constructing groups of anonymized data records ensuring that records in the same group cannot be distinguished with each other.The ...
Chaoyi BIAN, Shaomin ZHU, Tao ZHOU
doaj   +2 more sources