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

Decision Support for Health Professionals (1452) Cancer Prognosis Models and Machine Learning (47) Machine Learning (1936) Electronic Health Records (1259) Colon and Rectal Cancer (39) Clinical Informatics (1243)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/75022, first published .
Deep Learning and Image Generator Health Tabular Data (IGHT) for Predicting Overall Survival in Patients With Colorectal Cancer: Retrospective Study

Deep Learning and Image Generator Health Tabular Data (IGHT) for Predicting Overall Survival in Patients With Colorectal Cancer: Retrospective Study

Deep Learning and Image Generator Health Tabular Data (IGHT) for Predicting Overall Survival in Patients With Colorectal Cancer: Retrospective Study

Authors of this article:

Seo Hyun Oh1 Author Orcid Image ;   Youngho Lee2 Author Orcid Image ;   Jeong-Heum Baek3 Author Orcid Image ;   Woongsang Sunwoo4 Author Orcid Image
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Seo Hyun Oh   1 , BS ;   Youngho Lee   2 * , PhD ;   Jeong-Heum Baek   3 * , MD, PhD ;   Woongsang Sunwoo   4 , MD

1 Department of IT Convergence, Gachon University, 1342, Seongnam-daero, Sung-nam si, Republic of Korea

2 Department of Computer Engineering, Gachon University, Sung-nam si, Republic of Korea

3 Division of Colon and Rectal Surgery, Department of Surgery, Gil Medical Center, 21, Namdong-daero 774beon-gil, Incheon, Republic of Korea

4 Department of Otorhinolaryngology-Head and Neck Surgery, Gachon University College of Medicine, Gil Medical Center, 21, Namdong-daero 774beon-gil, Incheon, Republic of Korea

*these authors contributed equally

Corresponding Author:

  • Youngho Lee, PhD
  • Department of Computer Engineering
  • Gachon University
  • 1342, Seongnam-daero
  • Sung-nam si 13120
  • Republic of Korea
  • Phone: 82 31-750-5011
  • Fax: 82 31-750-5743
  • Email: lyh@gachon.ac.kr