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1 Ergebnisse
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Machine learning analyses identify multi-modal frailty fact..:
Linzy Bohn
;
Shannon M. Drouin
;
G. Peggy McFall
...
https://doi.org/10.1186/s12877-023-04546-1. , 2023
Link:
https://doi.org/10.1186/s12877-023-04546-1
RT Journal T1
Machine learning analyses identify multi-modal frailty factors that selectively discriminate four cohorts in the Alzheimer's disease spectrum: a COMPASS-ND study
UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:fe0d9a2ae7bf4d159f8911aff0474e3b&Exemplar=1&LAN=DE A1 Linzy Bohn A1 Shannon M. Drouin A1 G. Peggy McFall A1 Darryl B. Rolfson A1 Melissa K. Andrew A1 Roger A. Dixon PB BMC YR 2023 K1 Frailty K1 Deficit accumulation K1 Subjective cognitive impairment K1 Mild cognitive impairment K1 Alzheimer's disease K1 Canadian Consortium on Neurodegeneration in Aging K1 Geriatrics K1 RC952-954.6 JF https://doi.org/10.1186/s12877-023-04546-1 LK http://dx.doi.org/https://doi.org/10.1186/s12877-023-04546-1 DO https://doi.org/10.1186/s12877-023-04546-1 SF ELIB - SuUB Bremen
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