Cargando…

Privacy protected graphical functionality in DataSHIELD

Detalles Bibliográficos
Autores principales:	Avraam, Demetris, Gaye, Amadou, Isaeva, Julia, Burton, Thomas, Wilson, Rebecca, Turner, Andrew, Burton, Paul
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Swansea University 2017
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9351000/ http://dx.doi.org/10.23889/ijpds.v1i1.296

Ejemplares similares

Privacy protected text analysis in DataSHIELD
por: Wilson, Rebecca, et al.
Publicado: (2017)

Orchestrating privacy-protected big data analyses of data from different resources with R and DataSHIELD
por: Marcon, Yannick, et al.
Publicado: (2021)

dsSurvival: Privacy preserving survival models for federated individual patient meta-analysis in DataSHIELD
por: Banerjee, Soumya, et al.
Publicado: (2022)

DataSHIELD: taking the analysis to the data, not the data to the analysis
por: Gaye, Amadou, et al.
Publicado: (2014)

A deterministic approach for protecting privacy in sensitive personal data
por: Avraam, Demetris, et al.
Publicado: (2022)

Deep generative models in DataSHIELD
por: Lenz, Stefan, et al.
Publicado: (2021)

Privacy preserving data visualizations
por: Avraam, Demetris, et al.
Publicado: (2021)

dsSurvival 2.0: privacy enhancing survival curves for survival models in the federated DataSHIELD analysis system
por: Banerjee, Soumya, et al.
Publicado: (2023)

dsSynthetic: synthetic data generation for the DataSHIELD federated analysis system
por: Banerjee, Soumya, et al.
Publicado: (2022)

DataSHIELD: resolving a conflict in contemporary bioscience—performing a pooled analysis of individual-level data without sharing the data
por: Wolfson, Michael, et al.
Publicado: (2010)

Synthetic ALSPAC longitudinal datasets for the Big Data VR project
por: Avraam, Demetris, et al.
Publicado: (2017)

Software Application Profile: ShinyDataSHIELD—an R Shiny application to perform federated non-disclosive data analysis in multicohort studies
por: Escribà-Montagut, Xavier, et al.
Publicado: (2022)

Disseminating findings from the Data Analysis with Privacy Protection for Epidemiological Research (DAPPER) workshop
por: Wilson, Rebecca, et al.
Publicado: (2017)

ESPRESSO: taking into account assessment errors on outcome and exposures in power analysis for association studies
por: Gaye, Amadou, et al.
Publicado: (2015)

Unpacking privacy: Valuation of personal data protection
por: Skatova, Anya, et al.
Publicado: (2023)

Privacy Protection and Data Utilization
por: Shin, Soo-Yong
Publicado: (2021)

Data protection and privacy: an introduction
por: Wolvaardt, Elmien
Publicado: (2022)

Privacy and data protection foundation courseware
por: Zeegers, Ruben
Publicado: (2018)

Understanding the impact of pre-analytic variation in haematological and clinical chemistry analytes on the power of association studies
por: Gaye, Amadou, et al.
Publicado: (2014)

RadShield: semiautomated shielding design using a floor plan driven graphical user interface
por: DeLorenzo, Matthew C., et al.
Publicado: (2016)

Customer data and privacy
por: Morey, Timothy, et al.
Publicado: (2020)

EU GDPR & EU-US Privacy Shield: A Pocket Guide
por: Calder, Alan
Publicado: (2017)

EU GDPR & EU-U.S. Privacy Shield: A pocket guide
por: Calder, Alan
Publicado: (2019)

Protecting Genomic Data Privacy with Probabilistic Modeling
por: Simmons, Sean, et al.
Publicado: (2019)

Privacy protection of medical data in social network
por: Su, Jie, et al.
Publicado: (2021)

Data Privacy for the Smart Grid
por: Herold, Rebecca, et al.
Publicado: (2015)

You: protecting your personal data and privacy online
por: Sumner, Stuart
Publicado: (2015)

Protecting Data Privacy in the Age of AI-Enabled Ophthalmology
por: Tom, Elysse, et al.
Publicado: (2020)

Local differential privacy protection for wearable device data
por: Li, Zhangbing, et al.
Publicado: (2022)

COVID-19, Personal Data Protection and Privacy in India
por: Dar, Mohamad Ayub, et al.
Publicado: (2022)

Disclosure and Data Linkage
por: Turner, Andrew, et al.
Publicado: (2017)

Successive Trajectory Privacy Protection with Semantics Prediction Differential Privacy
por: Zhang, Jing, et al.
Publicado: (2022)

Artistic expression and data protection: Balancing aesthetics with data privacy in IoT
por: Zhang, Qi
Publicado: (2023)

Protecting Location Privacy for Outsourced Spatial Data in Cloud Storage
por: Tian, Feng, et al.
Publicado: (2014)

Privacy in emergency circumstances: data protection and the COVID-19 pandemic
por: Ventrella, Emanuele
Publicado: (2020)

Research on Data Security and Privacy Protection of Wearable Equipment in Healthcare
por: Jiang, Dawei, et al.
Publicado: (2021)

JOINT STATEMENT ON DATA PROTECTION AND PRIVACY IN THE COVID-19 RESPONSE
Publicado: (2021)

Poster Abstract: Protecting User Data Privacy with Adversarial Perturbations
por: Wang, Ziqi, et al.
Publicado: (2021)

Privacy Protection and Secondary Use of Health Data: Strategies and Methods
por: Xiang, Dingyi, et al.
Publicado: (2021)

JOINT STATEMENT ON DATA PROTECTION AND PRIVACY IN THE COVID-19 RESPONSE
Publicado: (2020)

Cannot write session to /tmp/vufind_sessions/sess_qac8ee6dol6v63n8ub9phgk4m3