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

Machine Learning (2032) Ethics, Privacy, and Legal Issues (606) Security and Privacy of mHealth and uHealth (158) Secondary Use of Clinical Data for Research and Surveillance (466)

Published on in Vol 6, No 1 (2018): Jan-Mar

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/8286, first published .
Secure and Efficient Regression Analysis Using a Hybrid Cryptographic Framework: Development and Evaluation

Secure and Efficient Regression Analysis Using a Hybrid Cryptographic Framework: Development and Evaluation

Secure and Efficient Regression Analysis Using a Hybrid Cryptographic Framework: Development and Evaluation

Authors of this article:

Md Nazmus Sadat1 Author Orcid Image ;   Xiaoqian Jiang2 Author Orcid Image ;   Md Momin Al Aziz1 Author Orcid Image ;   Shuang Wang2 Author Orcid Image ;   Noman Mohammed1 Author Orcid Image
Article Authors Cited by (10) Tweetations (3) Metrics

Md Nazmus Sadat   1 , BCompSc ;   Xiaoqian Jiang   2 , PhD ;   Md Momin Al Aziz   1 , MSc ;   Shuang Wang   2 , PhD ;   Noman Mohammed   1 , PhD

1 Department of Computer Science, University of Manitoba, Winnipeg, MB, Canada

2 Department of Biomedical Informatics, University of California San Diego, La Jolla, CA, United States

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