Understanding the performance of webassembly applications
WebAssembly is the newest language to arrive on the web. It features a compact binary
format, making it fast to be loaded and decoded. While WebAssembly is generally expected …
format, making it fast to be loaded and decoded. While WebAssembly is generally expected …
Medshare: a novel hybrid cloud for medical resource sharing among autonomous healthcare providers
Legacy electronic health record systems were not developed with the level of connectivity
expected from them nowadays. Therefore, interoperability weakness inherent in the legacy …
expected from them nowadays. Therefore, interoperability weakness inherent in the legacy …
A data utility-driven benchmark for de-identification methods
O Tomashchuk, D Van Landuyt, D Pletea… - Trust, Privacy and …, 2019 - Springer
De-identification is the process of removing the associations between data and identifying
elements of individual data subjects. Its main purpose is to allow use of data while …
elements of individual data subjects. Its main purpose is to allow use of data while …
Querying medical datasets while preserving privacy
This paper addresses the challenge of identifying clinically-relevant patterns in medical
datasets without endangering patient privacy. To this end, we treat medical datasets as …
datasets without endangering patient privacy. To this end, we treat medical datasets as …
An Empirical Investigation On The Quality Of Open Source Anonymization Tools
P Haghverdian - 2022 - diva-portal.org
Objectives. In this thesis, we use the ISO-25010 model to investigatethe usability, security,
and performance efficiency of anonymizationtools. The metrics consist of understanding the …
and performance efficiency of anonymizationtools. The metrics consist of understanding the …
Anonymously Analyzing Clinical Datasets
This paper takes on the problem of automatically identifying clinically-relevant patterns in
medical datasets without compromising patient privacy. To achieve this goal, we treat …
medical datasets without compromising patient privacy. To achieve this goal, we treat …
A Tool for Analyzing Clinical Datasets as Blackbox
We present a technique for the automatic identification of clinically-relevant patterns in
medical datasets. To preserve patient privacy, we propose and implement the idea of …
medical datasets. To preserve patient privacy, we propose and implement the idea of …
A Tool for Analyzing Clinical Datasets as Blackbox
Z Liu, J Sztipanovits - Software Engineering in Health Care: 4th …, 2017 - books.google.com
We present a technique for the automatic identification of clinically-relevant patterns in
medical datasets. To preserve patient privacy, we propose and implement the idea of …
medical datasets. To preserve patient privacy, we propose and implement the idea of …