Machine learning models including patient-reported outcome data in oncology: a systematic literature review and analysis of their reporting quality.

Journal: Journal of patient-reported outcomes
PMID: 39499409

Abstract

PURPOSE: To critically examine the current state of machine learning (ML) models including patient-reported outcome measure (PROM) scores in cancer research, by investigating the reporting quality of currently available studies and proposing areas of improvement for future use of ML in the field.

Authors

  • Daniela Krepper
    Department of Psychiatry, Psychotherapy, Psychosomatics and Medical Psychology, University Hospital of Psychiatry II, Medical University of Innsbruck, Innsbruck, Austria. daniela.krepper@i-med.ac.at.
  • Matteo Cesari
    Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy.
  • Niclas J Hubel
    Department of Psychiatry, Psychotherapy, Psychosomatics and Medical Psychology, University Hospital of Psychiatry II, Medical University of Innsbruck, Innsbruck, Austria.
  • Philipp Zelger
    University Hospital for Hearing, Speech & Voice Disorders, Medical University of Innsbruck, Innsbruck, Austria.
  • Monika J Sztankay
    Department of Psychiatry, Psychotherapy, Psychosomatics and Medical Psychology, University Hospital of Psychiatry II, Medical University of Innsbruck, Innsbruck, Austria.

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