Accessibility settings

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

Development and Evaluation of Research Methods, Instruments and Tools (1321) New Methods (1786) Big Data (433) Electronic Health Records (1718) Advanced Data Analytics in eHealth (349) Secondary Use of Clinical Data for Research and Surveillance (630) Security in Digital Health (82)

Published on in Vol 8 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/53241, first published .
Futuristic interface displays a holographic human figure, vital signs, and data analysis.

Creating High-Quality Synthetic Health Data: Framework for Model Development and Validation

Creating High-Quality Synthetic Health Data: Framework for Model Development and Validation

Authors of this article:

Elnaz Karimian Sichani1 Author Orcid Image ;   Aaron Smith1 Author Orcid Image ;   Khaled El Emam2, 3, 4 Author Orcid Image ;   Lucy Mosquera2, 3 Author Orcid Image
Article Authors Cited by (1) Tweetations (4) Metrics

Journals

  1. Ruiz Pinto P, Wu P, Warmenhoven J, Mengersen K, Mehta D. Synthetic data generation in sport: A framework for design, privacy, utility, fidelity, and deployment. Journal of Sports Analytics 2026;12 View