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

Data Science (678) Machine Learning (3036) Artificial Intelligence (4526) Colon and Rectal Cancer (81) AI for Synthetic Data (22)

Published on in Vol 28 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/86087, first published .
3D illustration of the colon with a blue awareness ribbon, surrounded by virus-like shapes and flowers.

Evaluation of the Applicability of Synthetic Data in the Development of Colorectal Cancer Survival Prediction Models: External Validation of Advanced Machine Learning Models Based on National Cancer Data Center Data

Evaluation of the Applicability of Synthetic Data in the Development of Colorectal Cancer Survival Prediction Models: External Validation of Advanced Machine Learning Models Based on National Cancer Data Center Data

Authors of this article:

Yujeong Jang1 Author Orcid Image ;   Jae Hoon Kwon1 Author Orcid Image ;   Heeyong Kim2 Author Orcid Image ;   You-Jin Joung1, 3 Author Orcid Image ;   Junho ‍Nang4 Author Orcid Image ;   Chang Hyun Kim2 Author Orcid Image
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Yujeong Jang   1 , BS ;   Jae Hoon Kwon   1 , MS ;   Heeyong Kim   2 , BS ;   You-Jin Joung   1, 3 , BS ;   Junho ‍Nang   4 * , PhD ;   Chang Hyun Kim   2 * , MD, PhD

1 Department of Regulatory Science, Kyung Hee University, Seoul, Republic of Korea

2 Department of Surgery, Chonnam National University Hwasun Hospital, Hwasun, Republic of Korea

3 C&R Research, Seoul, Republic of Korea

4 Clinical Trial Center, Institute for Biomedical Science, Chonnam National University Hwasun Hospital, Hwasun-gun, Jeollanam-do, Republic of Korea

*these authors contributed equally

Corresponding Author:

  • Junho ‍Nang, PhD
  • Clinical Trial Center
  • Institute for Biomedical Science, Chonnam National University Hwasun Hospital
  • 322, Seoyang-ro, Hwasun-eup
  • Hwasun-gun, Jeollanam-do
  • Republic of Korea
  • Phone: 82 10-8940-1365
  • Email: cherryswan@khu.ac.kr