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Development of machine learning models to predict cancer-related fatigue in Dutch breast cancer survivors up to 15 years after diagnosis.

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Title: Development of machine learning models to predict cancer-related fatigue in Dutch breast cancer survivors up to 15 years after diagnosis.
Authors: Beenhakker L; Department of Biomedical Signals and Systems, Technical Medical Centre, University of Twente, Postbox 217, 7500 AE, Enschede, The Netherlands., Wijlens KAE; Department of Biomedical Signals and Systems, Technical Medical Centre, University of Twente, Postbox 217, 7500 AE, Enschede, The Netherlands., Witteveen A; Department of Biomedical Signals and Systems, Technical Medical Centre, University of Twente, Postbox 217, 7500 AE, Enschede, The Netherlands. a.witteveen@utwente.nl., Heins M; Department of Primary Care, Netherlands Institute for Health Services Research (Nivel), Utrecht, The Netherlands., Korevaar JC; Department of Primary Care, Netherlands Institute for Health Services Research (Nivel), Utrecht, The Netherlands., de Ligt KM; Division of Psychosocial Research and Epidemiology, Netherlands Cancer Institute, Amsterdam, The Netherlands., Bode C; Department of Psychology, Health and Technology, University of Twente, Enschede, The Netherlands., Vollenbroek-Hutten MMR; Department of Biomedical Signals and Systems, Technical Medical Centre, University of Twente, Postbox 217, 7500 AE, Enschede, The Netherlands.; Board of Directors, Medisch Spectrum Twente, Enschede, The Netherlands., Siesling S; Department of Health Technology and Services Research, Technical Medical Centre, University of Twente, Enschede, The Netherlands.; Department of Research and Development, Netherlands Comprehensive Cancer Organization (IKNL), Utrecht, The Netherlands.
Source: Journal of cancer survivorship : research and practice [J Cancer Surviv] 2025 Apr; Vol. 19 (2), pp. 580-593. Date of Electronic Publication: 2023 Dec 07.
Publication Type: Journal Article
Journal Info: Publisher: Springer Science + Business Media Country of Publication: United States NLM ID: 101307557 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1932-2267 (Electronic) Linking ISSN: 19322259 NLM ISO Abbreviation: J Cancer Surviv Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Development of machine learning models to predict cancer-related fatigue in Dutch breast cancer survivors up to 15 years after diagnosis.
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  Data: <searchLink fieldCode="AU" term="%22Beenhakker+L%22">Beenhakker L</searchLink>; Department of Biomedical Signals and Systems, Technical Medical Centre, University of Twente, Postbox 217, 7500 AE, Enschede, The Netherlands.<br /><searchLink fieldCode="AU" term="%22Wijlens+KAE%22">Wijlens KAE</searchLink>; Department of Biomedical Signals and Systems, Technical Medical Centre, University of Twente, Postbox 217, 7500 AE, Enschede, The Netherlands.<br /><searchLink fieldCode="AU" term="%22Witteveen+A%22">Witteveen A</searchLink>; Department of Biomedical Signals and Systems, Technical Medical Centre, University of Twente, Postbox 217, 7500 AE, Enschede, The Netherlands. a.witteveen@utwente.nl.<br /><searchLink fieldCode="AU" term="%22Heins+M%22">Heins M</searchLink>; Department of Primary Care, Netherlands Institute for Health Services Research (Nivel), Utrecht, The Netherlands.<br /><searchLink fieldCode="AU" term="%22Korevaar+JC%22">Korevaar JC</searchLink>; Department of Primary Care, Netherlands Institute for Health Services Research (Nivel), Utrecht, The Netherlands.<br /><searchLink fieldCode="AU" term="%22de+Ligt+KM%22">de Ligt KM</searchLink>; Division of Psychosocial Research and Epidemiology, Netherlands Cancer Institute, Amsterdam, The Netherlands.<br /><searchLink fieldCode="AU" term="%22Bode+C%22">Bode C</searchLink>; Department of Psychology, Health and Technology, University of Twente, Enschede, The Netherlands.<br /><searchLink fieldCode="AU" term="%22Vollenbroek-Hutten+MMR%22">Vollenbroek-Hutten MMR</searchLink>; Department of Biomedical Signals and Systems, Technical Medical Centre, University of Twente, Postbox 217, 7500 AE, Enschede, The Netherlands.; Board of Directors, Medisch Spectrum Twente, Enschede, The Netherlands.<br /><searchLink fieldCode="AU" term="%22Siesling+S%22">Siesling S</searchLink>; Department of Health Technology and Services Research, Technical Medical Centre, University of Twente, Enschede, The Netherlands.; Department of Research and Development, Netherlands Comprehensive Cancer Organization (IKNL), Utrecht, The Netherlands.
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  Data: <searchLink fieldCode="JN" term="%22101307557%22">Journal of cancer survivorship : research and practice</searchLink> [J Cancer Surviv] 2025 Apr; Vol. 19 (2), pp. 580-593. <i>Date of Electronic Publication: </i>2023 Dec 07.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Springer+Science+%2B+Business+Media%22">Springer Science + Business Media </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101307557 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1932-2267 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2219322259%22">19322259 </searchLink><i>NLM ISO Abbreviation: </i>J Cancer Surviv <i>Subsets: </i>MEDLINE
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        Value: 10.1007/s11764-023-01491-1
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      – Code: eng
        Text: English
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              Text: 2025 Apr
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