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

Big Data (270) Secondary Use of Clinical Data for Research and Surveillance (399) Machine Learning (1627) Methods and Instruments in Medical Informatics (158)

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
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RT @jmirpub: New JMIR MedInform: Utility Metrics for Evaluating Synthetic #health Data Generation Methods: Validation Study https://t.co/O4…

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