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

Journal: JMIR cancer
PMID: 39874195

Abstract

BACKGROUND: The rising number of cancer survivors and the shortage of health care professionals challenge the accessibility of cancer care. Health technologies are necessary for sustaining optimal patient journeys. To understand individuals' daily lives during their patient journey, qualitative studies are crucial. However, not all patients wish to share their stories with researchers.

Authors

  • Kelly Voigt
    Department of Surgical Oncology and Gastrointestinal Surgery, Erasmus Medical Centre Cancer Institute, Rotterdam, Netherlands.
  • Yingtao Sun
    Faculty of Industrial Design Engineering, Delft University of Technology, Delft, Netherlands.
  • Ayush Patandin
    Faculty of Electrical Engineering, Mathematics and Computer Science, Delft University of Technology, Delft, Netherlands.
  • Johanna Hendriks
    Department of Surgery, Erasmus Medical Centre, Rotterdam, Netherlands.
  • Richard Hendrik Goossens
    Faculty of Industrial Design Engineering, Delft University of Technology, Delft, Netherlands.
  • Cornelis Verhoef
    Department of Surgical Oncology and Gastrointestinal Surgery, Erasmus MC Cancer Centre, University Medical Centre Rotterdam, the Netherlands.
  • Olga Husson
    Department of Surgical Oncology and Gastrointestinal Surgery, Erasmus Medical Centre Cancer Institute, Rotterdam, Netherlands.
  • Dirk Grunhagen
    Department of Surgical Oncology and Gastrointestinal Surgery, Erasmus MC Cancer Institute, Rotterdam, the Netherlands.
  • Jiwon Jung
    Faculty of Industrial Design Engineering, Delft University of Technology, Delft, Netherlands.

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