Login / Signup

Computerised patient-specific prediction of the recovery profile of upper limb capacity within stroke services: the next step.

Ruud Willem SellesEleni-Rosalina AndrinopoulouRinske H NijlandRick van der VlietJorrit SlamanErwin Eh van WegenDimitris RizopoulosGerard M RibbersCarel Gm MeskersGert Kwakkel
Published in: Journal of neurology, neurosurgery, and psychiatry (2021)
Our innovative dynamic model can predict real-time, patient-specific upper limb capacity recovery profiles up to 6 months poststroke. The model can use all available serially assessed data in a flexible way, creating a prediction at any desired moment poststroke, stand-alone or linked with an electronic health record system.
Keyphrases
  • upper limb
  • electronic health record
  • clinical decision support
  • healthcare
  • primary care
  • atrial fibrillation
  • adverse drug
  • mental health
  • machine learning