Published on in Vol 8 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/53241, first published .
Creating High-Quality Synthetic Health Data: Framework for Model Development and Validation

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

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

Elnaz Karimian Sichani   1 , MSc ;   Aaron Smith   1 , PhD ;   Khaled El Emam   2, 3, 4 , BEng, PhD ;   Lucy Mosquera   2, 3 , MSc

1 Department of Mathematics and Statistics, 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 School of Epidemiology and Public Health, University of Ottawa, Ottawa, ON, Canada

Corresponding Author:

  • Elnaz Karimian Sichani, MSc
  • Department of Mathematics and Statistics
  • University of Ottawa
  • 150 Louis-Pasteur Pvt
  • Ottawa, ON, K1N 6N5
  • Canada
  • Phone: 1 6137690585
  • Email: ekari037@uottawa.ca