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.

Jang Y, Kwon JH, Kim H, Joung YJ, Nang J, Kim CH

Open source

DOI
10.2196/86087
Published
2026 Jul 7
Container
Journal of medical Internet research
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.2196/86087,
  title = {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.},
  author = {Jang Y and Kwon JH and Kim H and Joung YJ and Nang J and Kim CH},
  year = {2026},
  journal = {Journal of medical Internet research},
  doi = {10.2196/86087},
  url = {https://doi.org/10.2196/86087}
}

RIS

TY  - JOUR
TI  - 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.
AU  - Jang Y
AU  - Kwon JH
AU  - Kim H
AU  - Joung YJ
AU  - Nang J
AU  - Kim CH
PY  - 2026
JO  - Journal of medical Internet research
DO  - 10.2196/86087
UR  - https://doi.org/10.2196/86087
ER  - 

APA

Y, J., JH, K., H, K., YJ, J., J, N., & CH, K. (2026). 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.. Journal of medical Internet research. https://doi.org/10.2196/86087

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