Prediction of robotic neurorehabilitation functional ambulatory outcome in patients with neurological disorders.

ABSTRACT:

Introduction

Conflicting results persist regarding the effectiveness of robotic-assisted gait training (RAGT) for functional gait recovery in post-stroke survivors. We used several machine learning algorithms to construct prediction models for the functional outcomes of robotic neurorehabilitation in adult patients.

Methods and materials

Data of 139 patients who underwent Lokomat training at Taipei Medical University Hospital were retrospectively collected. After screening for data completeness, records of 91 adult patients with acute or chronic neurological disorders were included in this study. Patient characteristics and quantitative data from Lokomat were incorporated as features to construct prediction models to explore early responses and factors associated with patien

SUBMITTER: Kuo CY 

PROVIDER: S-EPMC8684617 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature