• Psychology

    • Breast Cancer
    • Treatment
    • Practitioners
  • Medicine and Dentistry

    • Cancer-Related Fatigue
    • Patient
    • Learning
  • Nursing and Health Professions

    • Fatigue
    • Malignant Neoplasm


I will be working on the PARTNR project (Personalized cAnceR TreatmeNt and caRe, to create a platform for breast cancer patients to predict, monitor and provide personal interventions for them against cancer-related fatigue.


Decision support towards optimal intervention for breast cancer patients who experience cancer-related fatigueIn 45th Annual North American Meeting of the Society for Medical Decision Making, Philadelphia, Pennsylvania, United States, 22-25 October 2023, Article 23947 (E-pub ahead of print/First online). Beenhakker, L., Wijlens, K. A. E., Witteveen, A., Bode, C., Siesling, S. & Vollenbroek-Hutten, M. M. R.
A holistic profile for cancer-related fatigue for women with breast cancer‚Äďa qualitative studyPsychology and Health (E-pub ahead of print/First online). Wijlens, K. A. E., Beenhakker, L., Witteveen, A., Siemerink, E. J. M., Jansen, L., Gernaat, C., Schellekens, M. P. J., Siesling, S., Vollenbroek-Hutten, M. M. R. & Bode, C. of machine learning models to predict cancer-related fatigue in Dutch breast cancer survivors up to 15¬†years after diagnosisJournal of cancer survivorship (E-pub ahead of print/First online). Beenhakker, L., Wijlens, K. A. E., Witteveen, A., Heins, M., Korevaar, J. C., de Ligt, K. M., Bode, C., Vollenbroek-Hutten, M. M. R. & Siesling, S. Coping Factors Associated With Breast Cancer-Related Fatigue: A Systematic Review of Recent Evidence for Stages 0 to IIIClinical breast cancer, 23(7), E401-E411. Schaab, M., Wijlens, K. A. E. & Bode, C. of breast cancer patients related to attributes of eHealth interventions for cancer-related fatigue, 76. Beenhakker, L., Brughuis, M. D. M., Wijlens, K. A. E., Bode, C., Siesling, S., Vollenbroek-Hutten, M. M. R., Witteveen, A. & van Til, J. A.Monitoring of cancer-related fatigue after breast cancer in daily-life: from development towards implementation, 75. Wijlens, K. A. E., Beenhakker, L., Witteveen, A., Siesling, S., Vollenbroek-Hutten, M. M. R. & Bode, C.Content validity of a toolkit for holistic monitoring of cancer-related fatigue in breast cancer patients. Wijlens, K. A. E., Beenhakker, L., Witteveen, A., Siesling, S., Vollenbroek-Hutten, M. M. R. & Bode, C.

Research profiles


One in seven women in the Netherlands will be diagnosed with breast cancer at some point in her life. Up to 90% of the patients experience some form of cancer-related fatigue (CRF) after diagnosis and for 30%, this fatigue remains problematic up to 10 years after diagnosis. As fatigue is a multi-dimensional problem, the patient should be assessed holistically. Early treatment is important, to keep it from becoming chronic. Based on the holistic patient profile, a personalized advice for an intervention against CRF can be given. In the PARTNR project, an intelligent self-learning system for these patients is developed, combining medical data with data on daily-life functioning to provide a personalized recommendation for an intervention against CRF. 

The Biomedical Signals and Systems group coordinates and leads the project, which is a collaboration between the University of Twente, ZiekenhuisGroep Twente (ZGT), Helen Dowling Institute (HDI), Roessingh rehabilitation centre, Roessingh Research and Development (RRD), Netherlands Comprehensive Cancer Organisation (IKNL), Evidencio, Ivido and the University Medical Centre of Groningen (UMCG). Also, two patient advocates from the Dutch Breast Cancer Association (BVN) give their advice. 

This research is supported by the Dutch Cancer Society (KWF) and NWO Domain AES, as part of their joint strategic research programme: Technology for Oncology II. The collaboration project is co-funded by the PPP Allowance made available by Health~Holland, Top Sector Life Sciences & Health, to stimulate public-private partnerships. 


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