A Machine Learning Approach Using Topic Modeling to Identify and Assess Experiences of Patients With Colorectal Cancer: Explorative Study
Our study highlighted the diverse concerns and experiences of patients with CRC. The more emotional content in home context discussions underscores the personal impact of CRC beyond clinical settings. Based on our study, we found that a machine learning-supported approach is a promising solution to analyze patients' experiences. The innovative application of patient community journey mapping provides a unique perspective into the challenges in patients' daily lives, which is essential for delivering appropriate support at the right moment.
Authors
- Cornelis Verhoef (ORCID: https://orcid.org/0000-0001-9980-8613)
- Kelly R. Voigt (ORCID: https://orcid.org/0000-0002-4592-9409)
- J.H.C.L. Hendriks
- Richard Goossens (ORCID: https://orcid.org/0000-0002-8304-3916)
- Jiwon Jung (ORCID: https://orcid.org/0000-0002-0157-196X)
- Olga Husson (ORCID: https://orcid.org/0000-0002-1387-8686)
- Dirk J. Grünhagen (ORCID: https://orcid.org/0000-0001-8293-6002)
- Yingtao Sun (ORCID: https://orcid.org/0009-0004-6703-5192)
- Ayush Patandin
Institutions
- The Netherlands Cancer Institute (NL)
- Erasmus MC Cancer Institute (NL)
- Erasmus University Rotterdam (NL)
- Delft University of Technology (NL)
Publication Details
- Journal
- JMIR Cancer
- Published
- 2025-01-27
- DOI
- https://doi.org/10.2196/58834
- Citations
- 2
- Primary Topic
- Global Cancer Incidence and Screening
- Type
- article
- Field-Weighted Citation Impact
- 2.09