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

Big Data (245) Secondary Use of Clinical Data for Research and Surveillance (375) Machine Learning (1501) Methods and Instruments in Medical Informatics (135)

Published on in Vol 10, No 4 (2022): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/35734, first published .
Utility Metrics for Evaluating Synthetic Health Data Generation Methods: Validation Study

Utility Metrics for Evaluating Synthetic Health Data Generation Methods: Validation Study

Utility Metrics for Evaluating Synthetic Health Data Generation Methods: Validation Study

Authors of this article:

Khaled El Emam1, 2, 3 Author Orcid Image ;   Lucy Mosquera2, 3 Author Orcid Image ;   Xi Fang3 Author Orcid Image ;   Alaa El-Hussuna4 Author Orcid Image
Article Authors Cited by (29) Tweetations (2) Metrics

Khaled El Emam   1, 2, 3 , BEng, PhD ;   Lucy Mosquera   2, 3 , BA, MSc ;   Xi Fang   3 , BA, MSc ;   Alaa El-Hussuna   4 , MSc, MD

1 School of Epidemiology and Public Health, 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

4 Open Source Research Collaboration, Aarlberg, Denmark

Corresponding Author: