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

Kelly Voigt   1 , MD, PhD ;   Yingtao Sun   2 , MSc ;   Ayush Patandin   3 , MSc ;   Johanna Hendriks   4 , MD, PhD ;   Richard Hendrik Goossens   2 , PhD ;   Cornelis Verhoef   1 , MD, PhD ;   Olga Husson   1, 5 , PhD ;   Dirk Grünhagen   1 * , MD, PhD ;   Jiwon Jung   2, 4 * , PhD

1 Department of Surgical Oncology and Gastrointestinal Surgery, Erasmus Medical Centre Cancer Institute, Rotterdam, The Netherlands

2 Faculty of Industrial Design Engineering, Delft University of Technology, Delft, The Netherlands

3 Faculty of Electrical Engineering, Mathematics and Computer Science, Delft University of Technology, Delft, The Netherlands

4 Department of Surgery, Erasmus Medical Centre, Rotterdam, Netherlands

5 Department of Medical Oncology, Netherlands Cancer Institute, Amsterdam, The Netherlands

*these authors contributed equally

Corresponding Author: