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A Machine Learning Approach to Predict Post-stroke Fatigue...:
Luzum, Geske
;
Thrane, Gyrd
;
Aam, Stina
...
Archives of Physical Medicine and Rehabilitation. 105 (2024) 5 - p. 921-929 , 2024
Link:
https://doi.org/10.1016/j.apmr.2023.12.005
RT Journal T1 <Title>A Machine Learning Approach to Predict Post-stroke Fatigue. The Nor-COAST study</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_j.apmr.2023.12.005&Exemplar=1&LAN=DE A1 Luzum, Geske A1 Thrane, Gyrd A1 Aam, Stina A1 Eldholm, Rannveig Sakshaug A1 Grambaite, Ramune A1 Munthe-Kaas, Ragnhild A1 Thingstad, Pernille A1 Saltvedt, Ingvild A1 Askim, Torunn PB Elsevier BV YR 2024 SN 0003-9993 JF Archives of Physical Medicine and Rehabilitation VO 105 IS 5 SP 921 OP 929 LK http://dx.doi.org/https://doi.org/10.1016/j.apmr.2023.12.005 DO https://doi.org/10.1016/j.apmr.2023.12.005 SF ELIB - SuUB Bremen
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