Results 71 to 80 of about 23,626,077 (284)
, 2022 Machine Learning is frequently ranked as one of the most promising technologies in several application domains but falls short when the data necessary for training is privacy-sensitive and can thus not be used.
Rebstadt,Jonas +3 more
core +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Introduction/Objective Acute intracranial stenting during endovascular thrombectomy (EVT) for ischemic stroke requires intraprocedural antiplatelet therapy (APT) to maintain patency. However, the hemorrhagic risk of combining APT with intravenous thrombolysis (IVT) remains uncertain.
Aaron Rodriguez‐Calienes +75 more
wiley +1 more source
Mathematics, risk, and messy survey data
IASSIST Quarterly, 2020 Research funder mandates, such as those from the U.S. National Science Foundation (2011), the Canadian Tri-Agency (draft, 2018), and the UK Economic and Social Research Council (2018) now often include requirements for data curation, including where ...
Kristi Anne Thompson, Carolyn Sullivan
doaj +1 more source
Solutions to enable gdpr in data models: data anonymization. [PDF]
, 2020 GDPR, which came into force in 2018, imposes strict data privacy requirements, but there is still a lack of solutions that enable GDPR and apply data anonymization in relational database management systems.
Ešvovičius, Valentinas,
core
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To investigate which baseline clinical and imaging characteristics best predict TSPO‐PET‐measurable reduction in glial activation following treatment of multiple sclerosis (MS), to utilize this information for designing more efficient biomarker‐based clinical trials targeting glial activation.
Marlene T. Morch +5 more
wiley +1 more source
Data Anonymization Using Pseudonym System to Preserve Data Privacy
IEEE Access, 2020 Data collection and storage in a large size is done on a routine basis in any company or organization. To this end, wireless network infrastructure and cloud computing are two widely-used tools.
Shukor Abd Razak +2 more
doaj +1 more source
kbe-anonymity: test data anonymization for evolving programs
Proceedings of the 27th IEEE/ACM International Conference on Automated Software Engineering, 2012 High-quality test data that is useful for effective testing is often available on users’ site. However, sharing data owned by users with software vendors may raise privacy concerns. Techniques are needed to enable data sharing among data owners and the vendors without leaking data privacy.
Lucia +3 more
openaire +3 more sources
Privacy through uncertainty in location-based services [PDF]
, 2013 Location-Based Services (LBS) are becoming more prevalent. While there are many benefits, there are also real privacy risks. People are unwilling to give up the benefits - but can we reduce privacy risks without giving up on LBS entirely?
Kuijpers, Bart +16 more
core +1 more source
Posterior Disconnection Syndrome in Early‐Stage Adult‐Onset Cerebral Adrenoleukodystrophy
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Adult‐onset cerebral adrenoleukodystrophy is potentially treatable but often difficult to recognize before advanced cerebral involvement. Herein, we describe three men with early‐stage disease who initially presented with subtle visual complaints rather than subcortical dementia. Targeted neuropsychological testing revealed higher‐order visual
Kazuto Katsuse +13 more
wiley +1 more source
Comparison of anonymization techniques regarding statistical reproducibility.
PLOS Digital HealthBackgroundAnonymization opens up innovative ways of using secondary data without the requirements of the GDPR, as anonymized data does not affect anymore the privacy of data subjects.
David Pau +6 more
doaj +1 more source