Privacy-Preserving Methods for Feature Engineering Using Blockchain: Review, Evaluation, and Proof of Concept

BACKGROUND: The protection of private data is a key responsibility for research studies that collect identifiable information from study participants. Limiting the scope of data collection and preventing secondary use of the data are effective strategies for managing these risks. An ideal framework...

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Detalles Bibliográficos
Autores principales: Jones, Michael, Johnson, Matthew, Shervey, Mark, Dudley, Joel T, Zimmerman, Noah
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2019
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6712958/
https://www.ncbi.nlm.nih.gov/pubmed/31414666
http://dx.doi.org/10.2196/13600

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6712958/
https://www.ncbi.nlm.nih.gov/pubmed/31414666
http://dx.doi.org/10.2196/13600

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