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

Cancer Survivorship (348) Applications of AI (300) Colon and Rectal Cancer (51) Machine Learning (2129) Natural Language Processing (931) Artificial Intelligence (2197)

Published on in Vol 11 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/58834, first published .
A Machine Learning Approach Using Topic Modeling to Identify and Assess Experiences of Patients With Colorectal Cancer: Explorative Study

A Machine Learning Approach Using Topic Modeling to Identify and Assess Experiences of Patients With Colorectal Cancer: Explorative Study

A Machine Learning Approach Using Topic Modeling to Identify and Assess Experiences of Patients With Colorectal Cancer: Explorative Study

Authors of this article:

Kelly Voigt1 Author Orcid Image ;   Yingtao Sun2 Author Orcid Image ;   Ayush Patandin3 Author Orcid Image ;   Johanna Hendriks4 Author Orcid Image ;   Richard Hendrik Goossens2 Author Orcid Image ;   Cornelis Verhoef1 Author Orcid Image ;   Olga Husson1, 5 Author Orcid Image ;   Dirk Grünhagen1 Author Orcid Image ;   Jiwon Jung2, 4 Author Orcid Image
Article Authors Cited by (2) Tweetations Metrics

Journals

  1. Kantabanlang Y, Hwang M, Krauss J, Jiang Y. Artificial Intelligence in Colorectal Cancer Supportive Care: A Scoping Review. Seminars in Oncology Nursing 2025:152079 View
  2. Wang M, Abu-Odah H, Zeng Y. Merging artificial intelligence into cancer nursing care: Current applications, challenges, and opportunities. Asia-Pacific Journal of Oncology Nursing 2026;13:100849 View