Results 41 to 50 of about 23,626,077 (284)
IEEE AccessData 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 +4 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 +6 more
doaj +1 more source
Efficient systematic clustering method for k-anonymization
, 2011 This paper presents a clustering (Clustering partitions record into clusters such that records within a cluster are similar to each other, while records in different clusters are most distinct from one another.) based k-anonymization technique to ...
Hua Wang +6 more
core +1 more source
De-Anonymization Attack Anatomy and Analysis of Ohio Nursing Workforce Data Anonymization [PDF]
, 2016 Data generalization (anonymization) is a widely misunderstood technique for preserving individual privacy in non-interactive data publishing. Easily avoidable anonymization failures are still occurring 14 years after the discovery of basic techniques to ...
Miracle, Jacob M.
core +2 more sources
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 +2 more
doaj +1 more source
Central Questions of Anonymization: A Case Study of Secondary Use of Qualitative Data
, 2005 Anonymization—the removal of identifying information from data—is one way of preparing data for secondary use. This process has not received much attention from scholars, but close examination shows that it is full of methodological, ethical and ...
Reay, T. +4 more
core +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
Global Efforts to Reduce Paediatric Cancer Care Disparities in Radiotherapy: A Decade Change
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background We present an update on the status, needs and challenges faced by paediatric imaging and radiotherapy (RT) programmes globally after a previous survey conducted by the International Atomic Energy Agency (IAEA) 10 years prior. Methods We developed and distributed a 121‐question survey to radiation oncologists, medical physicists and ...
Raymond B. Mailhot Vega +10 more
wiley +1 more source
TA_DA: Target-Aware Data Anonymization [PDF]
More and more scenarios rely today on data analysis of massive amount of data, possibly contributed from multiple parties (data controllers). Data may, however, contain information that is sensitive, company-confidential, or that should be protected (e.g.
Barezzani, Sergio +4 more
core +1 more source
Central Nervous System Tumors Among Infants in Canada: A Report From CYP‐C
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Central nervous system (CNS) tumors in infants are rare, pose unique clinical challenges, and lack large‐scale evidence‐based data to guide management. This study seeks to describe CNS tumors in Canadian infants and to compare their outcomes with those of older children.
Samuel Sassine +17 more
wiley +1 more source