Machine Learning-Based Prediction of Clinical Outcomes in Patients With Cancer Receiving Systemic Treatment Using Step Count Data Measured With Smartphones.

Journal: JCO clinical cancer informatics
Published Date: Jun 30, 2025

Abstract

PURPOSE: This study aimed to investigate whether changes in step count, measured using patients' own smartphones, could predict a clinical adverse event in the upcoming week in patients undergoing systemic anticancer treatments using machine learning models.

Authors

  • Calvin G Brouwer
    Department of Medical BioSciences, Radboud University Medical Center, Nijmegen, the Netherlands.
  • Branca M Bartelet
    Department of Medical BioSciences, Radboud University Medical Center, Nijmegen, the Netherlands.
  • Joeri A J Douma
    Department of Internal Medicine, Medical Centre Leeuwarden, Leeuwarden, the Netherlands.
  • Leni van Doorn
    Department of Medical Oncology, Erasmus MC Cancer Institute, University Medical Center Rotterdam, Rotterdam, the Netherlands.
  • Evelien J M Kuip
    Department of Medical Oncology and Department of Anesthesiology, Pain and Palliative Care, Radboud University Medical Center, Nijmegen, the Netherlands.
  • Henk M W Verheul
    Department of Medical Oncology, Erasmus MC Cancer Institute, University Medical Center Rotterdam, Rotterdam, the Netherlands.
  • Laurien M Buffart
    Department of Medical BioSciences, Radboud University Medical Center, Nijmegen, the Netherlands.

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