PREP2: A biomarker-based algorithm for predicting upper limb function after stroke.

Cathy M StinearWinston D ByblowSuzanne J AckerleyMarie-Claire SmithVictor M BorgesP Alan Barber

Published in: Annals of clinical and translational neurology (2017)

The new algorithm is more accurate, efficient, and accessible than its predecessors, which may support its use in clinical practice. While further work is needed to potentially incorporate sensory and cognitive factors, the algorithm can be used within days of stroke to provide accurate predictions of upper limb functional outcomes at 3 months after stroke. www.presto.auckland.ac.nz.

Keyphrases

upper limb
machine learning
deep learning
clinical practice
high resolution
atrial fibrillation
mass spectrometry