Differential privacy in health research: A scoping review
J Ficek, W Wang, H Chen, G Dagne… - Journal of the American …, 2021 - academic.oup.com
Objective Differential privacy is a relatively new method for data privacy that has seen
growing use due its strong protections that rely on added noise. This study assesses the …
growing use due its strong protections that rely on added noise. This study assesses the …
Applications of data hiding techniques in medical and healthcare systems: a survey
H Sajedi - Network Modeling Analysis in Health Informatics and …, 2018 - Springer
Nowadays, scientists make effort to provide security for the communication channels.
Several security and privacy threats are introduced via the Internet as the major …
Several security and privacy threats are introduced via the Internet as the major …
Privacy-preserving aggregation of personal health data streams
Recently, as the paradigm of medical services has shifted from treatment to prevention, there
is a growing interest in smart healthcare that can provide users with healthcare services …
is a growing interest in smart healthcare that can provide users with healthcare services …
Improving healthcare services using source anonymous scheme with privacy preserving distributed healthcare data collection and mining
N Domadiya, UP Rao - Computing, 2021 - Springer
The trends of data mining on healthcare data for improving medical services have increased
because of the electronic healthcare record (EHR) system, which collects a massive amount …
because of the electronic healthcare record (EHR) system, which collects a massive amount …
Combining health data uses to ignite health system learning
J Ainsworth, I Buchan - Methods of information in medicine, 2015 - thieme-connect.com
Objectives: In this paper we aim to characterise the critical mass of linked data, methods and
expertise required for health systems to adapt to the needs of the populations they serve …
expertise required for health systems to adapt to the needs of the populations they serve …
An efficient activity recognition framework: Toward privacy-sensitive health data sensing
Recent advances in wireless sensor networks for ubiquitous health and activity monitoring
systems have triggered the possibility of addressing human needs in smart environments …
systems have triggered the possibility of addressing human needs in smart environments …
Public comprehension of privacy protections applied to health data shared for research: An Australian cross-sectional study
Introduction Sharing of health data for secondary uses such as research and public policy
development is common. There are many potential benefits, but also risks if information …
development is common. There are many potential benefits, but also risks if information …
Utilizing synthetic data for medical vision-language pre-training: Bypassing the need for real images
Medical Vision-Language Pre-training (VLP) learns representations jointly from medical
images and paired radiology reports. It typically requires large-scale paired image-text …
images and paired radiology reports. It typically requires large-scale paired image-text …
Differentially private publication of vertically partitioned data
In this paper, we study the problem of publishing vertically partitioned data under differential
privacy, where different attributes of the same set of individuals are held by multiple parties …
privacy, where different attributes of the same set of individuals are held by multiple parties …
Research on adaptive relationship between trust and privacy in cloud service
H Han - IEEE Access, 2021 - ieeexplore.ieee.org
To prevent privacy leakage, cloud services need to take corresponding methods, so
participants often face the dilemma of service utility and privacy protection. In this paper, we …
participants often face the dilemma of service utility and privacy protection. In this paper, we …