Results 111 to 120 of about 1,822,892 (288)
Screening Routine Clinical Notes for Epilepsy Surgery Candidates Using Large Language Models
ABSTRACT Objective Epilepsy surgery is severely underutilized despite proven efficacy, with substantial under‐referral of eligible patients in routine clinical practice. This study evaluated the potential role of large language models (LLMs) as decision‐support tools for screening unstructured clinical notes to identify epilepsy surgery candidates and ...
Uriel Fennig +9 more
wiley +1 more source
Differential privacy and SPARQL
Differential privacy is a framework that provides formal tools to develop algorithms to access databases and answer statistical queries with quantifiable accuracy and privacy guarantees. The notions of differential privacy are defined independently of the data model and the query language at steak.
Dumontier, Michel +5 more
openaire +2 more sources
ABSTRACT Objective To clarify the clinical relevance of dopamine transporter single‐photon emission computed tomography (DAT‐SPECT) abnormalities in amyotrophic lateral sclerosis (ALS), with a prespecified focus on sex‐stratified associations with disease progression and short‐term prognosis.
Tomoya Kawazoe +7 more
wiley +1 more source
Metric Differential Privacy on the Special Orthogonal Group SO(3)
Differential privacy (DP) is an important framework to provide strong theoretical guarantees on the privacy and utility of released data. Since its introduction in 2006, DP has been applied to various data types and domains.
Anna Katharina Hildebrandt +2 more
core +1 more source
Onasemnogene Abeparvovec in Patients With SMA: Interim Results of the RESTORE Registry in Japan
ABSTRACT Objective There are limited real‐world data regarding the safety and effectiveness of onasemnogene abeparvovec (OA; Zolgensma) infusion, a one‐time gene replacement therapy, for Japanese patients with spinal muscular atrophy (SMA). We aimed to improve understanding of the real‐world outcomes for OA in Japan.
Kayoko Saito +8 more
wiley +1 more source
Honest Fraction Differential Privacy
International audienceOver the last decades, differential privacy (DP) has become a standard notion of privacy. It allows to measure how much sensitive information an adversary could infer from a result (statistical model, prediction, etc.) he obtains.
Taibi, Imane, Ramon, Jan
core +1 more source
T1 Over Squared Proton Density Ratio to Characterize Multiple Sclerosis Lesions
ABSTRACT Objective Differentiating remyelinated from demyelinated lesions in MS remains challenging without histological confirmation. This study introduces the T1‐to‐PD2 ratio (TPR) imaging approach and evaluates its ability to characterize MS lesions alongside other quantitative MRI (qMRI) metrics. Methods Thirty individuals with MS (mean age: 47.5 ±
Sarah J. Wright +10 more
wiley +1 more source
Final report for "Privacy in Asia" scoping project
The goal of this scoping exercise was to identify key Asian partners and issues in promoting privacy protection in Asia. The state of regulatory protections (the jurisdiction and powers of the regulators) and legal protections (jurisprudence) was ...
Privacy International
core
Understanding ethical concerns in social media privacy studies [PDF]
There are myriad ethical considerations with conducting social media studies, in particular those investigating privacy concerns in such sites. We are interested in understanding how to address these concerns, and in particular wish to discuss our ...
Hutton, Luke +2 more
core +2 more sources
DPRF: A Differential Privacy Protection Random Forest
Providing privacy protection for classification algorithms has become a research hotspot in current data mining. In this paper, differential privacy is applied to the random forest classification algorithm, and a random forest algorithm based on ...
Jun Hou +5 more
doaj +1 more source

