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

Machine Learning (2327) Clinical Informatics (1511) Clinical Information and Decision Making (2164) Decision Support for Health Professionals (1712) Gastroenterology and Hepatology (151) Cancer Prognosis Models and Machine Learning (91)

Published on in Vol 14 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/78931, first published .
Woman pointing at AI model evaluation dashboard with graphs and confusion matrix.

Advancing Gastrointestinal Cancer Risk Prediction With Patient-Centered Machine Learning: Machine Learning Modeling Study

Advancing Gastrointestinal Cancer Risk Prediction With Patient-Centered Machine Learning: Machine Learning Modeling Study

Authors of this article:

Daina Baublyte1 Author Orcid Image ;   Jeonghee Lee2 Author Orcid Image ;   Madhawa Gunathilake2 Author Orcid Image ;   Jeongseon Kim2 Author Orcid Image
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Daina Baublyte   1 , MSc ;   Jeonghee Lee   2 , MSc ;   Madhawa Gunathilake   2 , PhD ;   Jeongseon Kim   2 , PhD

1 Department of Public Health & AI, National Cancer Center Graduate School of Cancer Science and Policy, National Cancer Center, Goyang-si, Republic of Korea

2 Department of Cancer Biomedical Science, National Cancer Center Graduate School of Cancer Science and Policy, National Cancer Center, Goyang-si, Republic of Korea

Corresponding Author:

  • Jeongseon Kim, PhD
  • Department of Cancer Biomedical Science
  • National Cancer Center Graduate School of Cancer Science and Policy, National Cancer Center
  • 323 Ilsan-ro, Ilsandong-gu, Gyeonggi-do
  • Goyang-si 10408
  • Republic of Korea
  • Phone: 82 31-920-2570
  • Fax: 82 31-920-2579
  • Email: jskim@ncc.re.kr