This paper is in the following e-collection/theme issue:

Secondary Use of Clinical Data for Research and Surveillance (367) Data Science (270) Ethics, Privacy, and Legal Issues (479) Big Data (240)

Published on in Vol 7, No 2 (2019): Apr-Jun

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/12702, first published .
Privacy-Preserving Analysis of Distributed Biomedical Data: Designing Efficient and Secure Multiparty Computations Using Distributed Statistical Learning Theory

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

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

Authors of this article:

Fida K Dankar1 Author Orcid Image ;   Nisha Madathil1 Author Orcid Image ;   Samar K Dankar2 Author Orcid Image ;   Sabri Boughorbel3 Author Orcid Image
Article Authors Cited by (22) Tweetations (5) Metrics

Altmetric

Altmetric discovers Social Media mentions. Click the ‘See more details’ link for a full report.

Dimensions

Dimensions discovers Citations. Click the ‘details’ link for a full report.

Metrics Since Publication

Download .csv
Daily | Monthly | Annually