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Patient preference attributes in eHealth interventions for cancer-related fatigue: A scoping review.
Eur J Cancer Care (Engl). 2022 Nov;31(6):e13754. doi: 10.1111/ecc.13754. Epub 2022 Nov 16.
Eur J Cancer Care (Engl). 2022.
PMID: 36385440
Free PMC article.
Review.
Development of machine learning models to predict cancer-related fatigue in Dutch breast cancer survivors up to 15 years after diagnosis.
Beenhakker L, Wijlens KAE, Witteveen A, Heins M, Korevaar JC, de Ligt KM, Bode C, Vollenbroek-Hutten MMR, Siesling S.
Beenhakker L, et al.
J Cancer Surviv. 2023 Dec 7. doi: 10.1007/s11764-023-01491-1. Online ahead of print.
J Cancer Surviv. 2023.
PMID: 38062255
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Face and content validity of a holistic assessment questionnaire to assess cancer-related fatigue after breast cancer.
Wijlens KAE, Witteveen A, Beenhakker L, Siemerink EJM, Achterkamp R, Siesling S, Vollenbroek-Hutten MMR, Bode C.
Wijlens KAE, et al. Among authors: beenhakker l.
Fatigue. 2024 Aug 18;12(4):293-307. doi: 10.1080/21641846.2024.2389007. eCollection 2024.
Fatigue. 2024.
PMID: 39290853
Free PMC article.
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A holistic profile for cancer-related fatigue for women with breast cancer - a qualitative study.
Wijlens KAE, Beenhakker L, Witteveen A, Siemerink EJM, Jansen L, Gernaat C, Schellekens MPJ, Siesling S, Vollenbroek-Hutten MMR, Bode C.
Wijlens KAE, et al. Among authors: beenhakker l.
Psychol Health. 2023 Dec 18:1-25. doi: 10.1080/08870446.2023.2289457. Online ahead of print.
Psychol Health. 2023.
PMID: 38108624
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