Published on in Vol 11 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/47859, first published .
Synthetic Tabular Data Based on Generative Adversarial Networks in Health Care: Generation and Validation Using the Divide-and-Conquer Strategy

Synthetic Tabular Data Based on Generative Adversarial Networks in Health Care: Generation and Validation Using the Divide-and-Conquer Strategy

Synthetic Tabular Data Based on Generative Adversarial Networks in Health Care: Generation and Validation Using the Divide-and-Conquer Strategy

Ha Ye Jin Kang   1, 2 * , MS ;   Erdenebileg Batbaatar   3 * , PhD ;   Dong-Woo Choi   3 , PhD ;   Kui Son Choi   3, 4 , PhD, Prof Dr ;   Minsam Ko   1, 5 , PhD, Prof Dr ;   Kwang Sun Ryu   2, 3 , PhD, Prof Dr

1 Department of Applied Artificial Intelligence, Hanyang University, Ansan, Republic of Korea

2 Department of Cancer AI & Digital Health, Graduate School of Cancer Science and Policy, National Cancer Center, Gyeonggi-do, Republic of Korea

3 National Cancer Data Center, National Cancer Control Institute, National Cancer Center, Gyeonggi-do, Republic of Korea

4 Department of Cancer Control and Policy, Graduate School of Cancer Science and Policy, National Cancer Center, Gyeonggi-do, Republic of Korea

5 Department of Human-Computer Interaction, Hanyang University, Ansan, Republic of Korea

*these authors contributed equally

Corresponding Author:

  • Kwang Sun Ryu, PhD, Prof Dr
  • National Cancer Data Center
  • National Cancer Control Institute
  • National Cancer Center
  • 323 Ilsan-ro, Ilsandong-gu, Goyang-si
  • Gyeonggi-do, 10408
  • Republic of Korea
  • Phone: 82 31-920-0652
  • Email: niceplay13@ncc.re.kr