A Machine Learning Approach to Predict Post-stroke Fatigue. The Nor-COAST study.

Abstract

Authors

• Geske Luzum
  Department of Neuromedicine and Movement Science, NTNU-Norwegian University of Science and Technology, Trondheim, Norway.
• Gyrd Thrane
  Department of Health and Care Science, The Arctic University of Norway, Tromsø, Norway.
• Stina Aam
  Department of Neuromedicine and Movement Science, NTNU-Norwegian University of Science and Technology, Trondheim, Norway; Department of Geriatric Medicine, Clinic of Medicine, St. Olavs hospital, Trondheim University Hospital, Trondheim, Norway.
• Rannveig Sakshaug Eldholm
  Department of Neuromedicine and Movement Science, NTNU-Norwegian University of Science and Technology, Trondheim, Norway; Department of Geriatric Medicine, Clinic of Medicine, St. Olavs hospital, Trondheim University Hospital, Trondheim, Norway.
• Ramune Grambaite
  Department of Psychology, NTNU-Norwegian University of Science and Technology, Trondheim, Norway.
• Ragnhild Munthe-Kaas
  Department of Medicine, Kongsberg Hospital, Vestre Viken Hospital Trust, Drammen, Norway; Department of Medicine, Bærum Hospital, Vestre Viken Hospital Trust, Drammen, Norway.
• Pernille Thingstad
  Department of Neuromedicine and Movement Science, NTNU-Norwegian University of Science and Technology, Trondheim, Norway; Department of Health and Welfare, Trondheim Municipality, Trondheim, Norway.
• Ingvild Saltvedt
  Department of Neuromedicine and Movement Science, NTNU-Norwegian University of Science and Technology, Trondheim, Norway; Department of Geriatric Medicine, Clinic of Medicine, St. Olavs hospital, Trondheim University Hospital, Trondheim, Norway.
• Torunn Askim
  Department of Neuromedicine and Movement Science, NTNU-Norwegian University of Science and Technology, Trondheim, Norway. Electronic address: torunn.askim@ntnu.no.

Keywords

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