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

Journals

  1. Azizi Z, Zheng C, Mosquera L, Pilote L, El Emam K. Can synthetic data be a proxy for real clinical trial data? A validation study. BMJ Open 2021;11(4):e043497 View
  2. Libbi C, Trienes J, Trieschnigg D, Seifert C. Generating Synthetic Training Data for Supervised De-Identification of Electronic Health Records. Future Internet 2021;13(5):136 View