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

Security in Digital Health (35) Clinical Information and Decision Making (1434) Ethics, Privacy, and Legal Issues (494) Machine Learning (1501)

Published on in Vol 8, No 7 (2020): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/18910, first published .
Reliability of Supervised Machine Learning Using Synthetic Data in Health Care: Model to Preserve Privacy for Data Sharing

Reliability of Supervised Machine Learning Using Synthetic Data in Health Care: Model to Preserve Privacy for Data Sharing

Reliability of Supervised Machine Learning Using Synthetic Data in Health Care: Model to Preserve Privacy for Data Sharing

Authors of this article:

Debbie Rankin1 Author Orcid Image ;   Michaela Black1 Author Orcid Image ;   Raymond Bond2 Author Orcid Image ;   Jonathan Wallace2 Author Orcid Image ;   Maurice Mulvenna2 Author Orcid Image ;   Gorka Epelde3, 4 Author Orcid Image
Article Authors Cited by (83) Tweetations (4) Metrics

Debbie Rankin   1 , BSc, PhD ;   Michaela Black   1 , BSc, PhD ;   Raymond Bond   2 , BSc, PhD ;   Jonathan Wallace   2 , BA, MSc ;   Maurice Mulvenna   2 , BSc, MPhil, PhD ;   Gorka Epelde   3, 4 , PhD

1 School of Computing, Engineering and Intelligent Systems, Ulster University, Derry~Londonderry, United Kingdom

2 School of Computing, Ulster University, Jordanstown, United Kingdom

3 Vicomtech Foundation, Basque Research and Technology Alliance, Donostia-San Sebastián, Spain

4 Biodonostia Health Research Institute, eHealth Group, Donostia-San Sebastián, Spain

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