Machine learning-based study of the predictors of clinically important change in patient-reported outcomes in bilateral upper-limb function in patients receiving robotic stroke rehabilitation

The time post onset of stroke, the speed of performing functional tasks, and self-perceived physical function were identified as the most important predictors of improvements in self-perceived function of bilateral upper limbs in daily activities after robotic therapy. The findings may inform clinicians about characteristics of patients with stroke who are more likely to benefit from robotic therapy.