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Clinical machine learning predicting best stroke rehabilitation responders to exoskeletal robotic gait rehabilitation.

Seonmi ParkJongeun ChoiYonghoon KimJoshua Sung H You
Published in: NeuroRehabilitation (2024)
eXtreme Gradient Boosting may be an invaluable prognostic tool, providing clinicians and caregivers with a robust framework to make precise clinical decisions regarding the identification of optimal responders and effectively pinpoint those who are most likely to derive maximum benefits from RAGT interventions.
Keyphrases
  • machine learning
  • palliative care
  • atrial fibrillation
  • physical activity
  • minimally invasive
  • deep learning
  • big data
  • cerebral palsy