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Annals of Data Science

A Survey on Differential Privacy for Medical Data Analysis

  • 10-06-2023
Published in:
Authors
WeiKang Liu
Yanchun Zhang
Hong Yang
Qinxue Meng
Published in
Annals of Data Science | Issue 2/2024

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Abstract

The article delves into the critical role of differential privacy in medical data analysis, addressing the growing concern for privacy in an increasingly data-driven healthcare landscape. It provides an in-depth survey of differential privacy methods, focusing on noise-based mechanisms and their applications in medical data publishing and mining. The survey also discusses the limitations of current approaches and highlights future research directions, making it a valuable resource for professionals seeking to understand and implement privacy-preserving techniques in medical data analysis.
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Title
A Survey on Differential Privacy for Medical Data Analysis
Authors
WeiKang Liu
Yanchun Zhang
Hong Yang
Qinxue Meng
Publication date
10-06-2023
Publisher
Springer Berlin Heidelberg
Published in
Annals of Data Science / Issue 2/2024
Print ISSN: 2198-5804
Electronic ISSN: 2198-5812
DOI
https://doi.org/10.1007/s40745-023-00475-3
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