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

Cancer Prognosis Models and Machine Learning (91) Decision Support for Health Professionals (1700) Public Health Informatics (157) Machine Learning (2313)

Published on in Vol 12 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/86418, first published .
Doctor in white coat reviews patient data on computer screen.

Machine Learning–Based Survival Prediction Models for Young Patients With Gastric Cancer: Model Development and Validation Study

Machine Learning–Based Survival Prediction Models for Young Patients With Gastric Cancer: Model Development and Validation Study

Authors of this article:

Ha Ye Jin Kang1 Author Orcid Image ;   Wooyeong Jang2 Author Orcid Image ;   Minsam Ko3 Author Orcid Image ;   Kwang Sun Ryu4 Author Orcid Image
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Ha Ye Jin Kang   1 , PhD ;   Wooyeong Jang   2 , MS ;   Minsam Ko   3 , PhD ;   Kwang Sun Ryu   4 , PhD

1 Department of Computer Science, Semyung University, Jecheon-si, Chungcheongbuk-do, Republic of Korea

2 Department of Biomedical Engineering, School of Medicine, Chungbuk National University, Seowon-gu, Cheongju-si, Chungcheongbuk-do, Republic of Korea

3 Department of Human-Computer Interaction, Hanyang University, Sangnok-gu, Ansan-si, Gyeonggi-do, Republic of Korea

4 National Cancer Data Center, National Cancer Center, Goyang-si, Gyeonggi-do, Republic of Korea

Corresponding Author:

  • Kwang Sun Ryu, PhD
  • National Cancer Data Center, National Cancer Center
  • 323 Ilsan-ro, Ilsandong-gu
  • Goyang-si, Gyeonggi-do 10408
  • Republic of Korea
  • Phone: 82 10-5769-7272
  • Fax: 82 10-031-920-0654
  • Email: niceplay13@ncc.re.kr