State‐of‐the‐art machine learning techniques aiming to improve patient outcomes pertaining to the cardiovascular system
With the digitization of all records and processes, and prevalence of cloud-driven services
and Internet of Things, today's era can truly be considered as an era of data. Machine …
and Internet of Things, today's era can truly be considered as an era of data. Machine …
A globally optimal k-anonymity method for the de-identification of health data
Background: Explicit patient consent requirements in privacy laws can have a negative
impact on health research, leading to selection bias and reduced recruitment. Often …
impact on health research, leading to selection bias and reduced recruitment. Often …
[PDF][PDF] Practicing differential privacy in health care: A review.
Differential privacy has gained a lot of attention in recent years as a general model for the
protection of personal information when used and disclosed for secondary purposes. It has …
protection of personal information when used and disclosed for secondary purposes. It has …
[HTML][HTML] Use and understanding of anonymization and de-identification in the biomedical literature: scoping review
R Chevrier, V Foufi, C Gaudet-Blavignac… - Journal of medical …, 2019 - jmir.org
Background The secondary use of health data is central to biomedical research in the era of
data science and precision medicine. National and international initiatives, such as the …
data science and precision medicine. National and international initiatives, such as the …
[图书][B] Guide to the de-identification of personal health information
K El Emam - 2013 - books.google.com
Offering compelling practical and legal reasons why de-identification should be one of the
main approaches to protecting patients' privacy, this book outlines a proven, risk-based …
main approaches to protecting patients' privacy, this book outlines a proven, risk-based …
An integrated big and fast data analytics platform for smart urban transportation management
Smart urban transportation management can be considered as a multifaceted big data
challenge. It strongly relies on the information collected into multiple, widespread, and …
challenge. It strongly relies on the information collected into multiple, widespread, and …
The application of differential privacy to health data
Differential privacy has gained a lot of attention in recent years as a general model for the
protection of personal information when used and disclosed for secondary purposes. It has …
protection of personal information when used and disclosed for secondary purposes. It has …
Estimating the re-identification risk of clinical data sets
Background De-identification is a common way to protect patient privacy when disclosing
clinical data for secondary purposes, such as research. One type of attack that de …
clinical data for secondary purposes, such as research. One type of attack that de …
[HTML][HTML] De-identification methods for open health data: the case of the Heritage Health Prize claims dataset
Background There are many benefits to open datasets. However, privacy concerns have
hampered the widespread creation of open health data. There is a dearth of documented …
hampered the widespread creation of open health data. There is a dearth of documented …
The development of large-scale de-identified biomedical databases in the age of genomics—principles and challenges
Contemporary biomedical databases include a wide range of information types from various
observational and instrumental sources. Among the most important features that unite …
observational and instrumental sources. Among the most important features that unite …