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

Ethics, Privacy, and Legal Issues (456) New Methods (901) Secondary Use of Clinical Data for Research and Surveillance (317) Statistical Methods for Surveillance and Population Health (146)

Published on in Vol 22, No 11 (2020): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/23139, first published .
Evaluating Identity Disclosure Risk in Fully Synthetic Health Data: Model Development and Validation

Evaluating Identity Disclosure Risk in Fully Synthetic Health Data: Model Development and Validation

Evaluating Identity Disclosure Risk in Fully Synthetic Health Data: Model Development and Validation

Authors of this article:

Khaled El Emam1, 2, 3 Author Orcid Image ;   Lucy Mosquera3 Author Orcid Image ;   Jason Bass3 Author Orcid Image
Article Authors Cited by (27) Tweetations (9) Metrics

Khaled El Emam   1, 2, 3 , BEng, PhD ;   Lucy Mosquera   3 , BSc, MSc ;   Jason Bass   3 , BSc

1 School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, ON, Canada

2 Children's Hospital of Eastern Ontario Research Institute, Ottawa, ON, Canada

3 Replica Analytics Ltd, Ottawa, ON, Canada

Corresponding Author:

  • Khaled El Emam, BEng, PhD
  • School of Epidemiology and Public Health
  • Faculty of Medicine
  • University of Ottawa
  • 401 Smyth Road
  • Ottawa, ON, K1H 8L1
  • Canada
  • Phone: 1 6137975412
  • Email: kelemam@ehealthinformation.ca