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

Longitudinal and Cohort Studies in Public Health (256) Cancer Prognosis Models and Machine Learning (9) Machine Learning (1373)

Published on in Vol 9 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/43409, first published .
Investigation of the Trajectory of Muscle and Body Mass as a Prognostic Factor in Patients With Colorectal Cancer: Longitudinal Cohort Study

Investigation of the Trajectory of Muscle and Body Mass as a Prognostic Factor in Patients With Colorectal Cancer: Longitudinal Cohort Study

Investigation of the Trajectory of Muscle and Body Mass as a Prognostic Factor in Patients With Colorectal Cancer: Longitudinal Cohort Study

Authors of this article:

Dongjin Seo1 Author Orcid Image ;   Han Sang Kim2, 3, 4 Author Orcid Image ;   Joong Bae Ahn2 Author Orcid Image ;   Yu Rang Park3, 4, 5 Author Orcid Image
Article Authors Cited by Tweetations (4) Metrics

Dongjin Seo   1 * , MD ;   Han Sang Kim   2, 3, 4 * , MD, PhD ;   Joong Bae Ahn   2 , MD, PhD ;   Yu Rang Park   3, 4, 5 , PhD

1 Department of Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea

2 Yonsei Cancer Center, Division of Medical Oncology, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea

3 Brain Korea 21 FOUR Project, Graduate School of Medical Science, Yonsei University College of Medicine, Seoul, Republic of Korea

4 Institute for Innovation in Digital Healthcare, Severance Hospital, Seoul, Republic of Korea

5 Department of Biomedical Systems Informatics, Yonsei University College of Medicine, Seoul, Republic of Korea

*these authors contributed equally

Corresponding Author:

  • Yu Rang Park, PhD
  • Department of Biomedical Systems Informatics
  • Yonsei University College of Medicine
  • 50-1 Yonsei-ro
  • Seodaemungu
  • Seoul, 03722
  • Republic of Korea
  • Phone: 82 10-5240-3434
  • Email: yurangpark@yuhs.ac