Development of machine learning models to predict cancer-related fatigue in Dutch breast cancer survivors up to 15 years after diagnosis.
| Publicado en: | Journal of Cancer Survivorship Vol. 19; no. 2; pp. 580 - 594 |
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| Autores principales: | , , , , , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Apr2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=183893354&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 183893354 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 19322259 46CU jtl: Journal of Cancer Survivorship issn: 19322259 maglogo: N pubinfo: dt: Apr2025 vid: 19 iid: 2 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 183893354 174048724 10.1007/s11764-023-01491-1 183893354 ppf: 580 ppct: 14 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Development of machine learning models to predict cancer-related fatigue in Dutch breast cancer survivors up to 15 years after diagnosis. aug: au: Beenhakker, Lian Wijlens, Kim A. E. Witteveen, Annemieke Heins, Marianne Korevaar, Joke C. de Ligt, Kelly M. Bode, Christina Vollenbroek-Hutten, Miriam M. R. Siesling, Sabine affil: https://ror.org/006hf6230 Department of Biomedical Signals and Systems, Technical Medical Centre, University of Twente, Postbox 217, 7500 AE, Enschede, The Netherlands sug: pubtype: Academic Journal doctype: Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
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