IGI Global eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 221 - 252
Published: April 25, 2025
The revolutionary impact of machine learning (ML) approaches in individualized rehabilitation is examined this chapter, with a focus on how predictive algorithms may improve patient outcomes. ML models are changing procedures to offer therapies that consider each patient's requirements, preferences, and progress by utilizing large varied datasets. chapter explores important techniques, including support vector machines, neural networks, decision trees, emphasizing they be used forecast recovery paths, enhance treatment regimens, modify real time. This change mostly due wearable technology sensor data, which provide real-time performance insights allow regimens continuously improved. Examples effective algorithm integration include AI-powered prostheses, orthotic devices adaptive control systems, neurorehabilitation for spinal cord injuries stroke.
Language: Английский