Privacy-Preserving Analysis of Distributed Biomedical Data: Designing Efficient and Secure Multiparty Computations Using Distributed Statistical Learning Theory

BACKGROUND: Biomedical research often requires large cohorts and necessitates the sharing of biomedical data with researchers around the world, which raises many privacy, ethical, and legal concerns. In the face of these concerns, privacy experts are trying to explore approaches to analyzing the dis...

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Detalles Bibliográficos
Autores principales: Dankar, Fida K, Madathil, Nisha, Dankar, Samar K, Boughorbel, Sabri
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2019
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6658266/
https://www.ncbi.nlm.nih.gov/pubmed/31033449
http://dx.doi.org/10.2196/12702

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6658266/
https://www.ncbi.nlm.nih.gov/pubmed/31033449
http://dx.doi.org/10.2196/12702

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