Data Analytics: Personalized Rehabilitation脙垄芒聜卢芒聞垄s Future
*Corresponding Author:Received Date: Dec 01, 2025 / Accepted Date: Dec 29, 2025 / Published Date: Dec 29, 2025
Citation: Monnier DC (2025) Data Analytics: Personalized Rehabilitation’s Future. jnp 15: 899.DOI: 10.4172/2165-7025.1000899
Copyright: © 2025 Dr. Claire Monnier This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permitsunrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.
Abstract
This compilation explores thetransformative role of data analytics in rehabilitation. It highlights how machine learning, predictive
modeling, wearable sensors, and digital health platforms enhance patient monitoring, personalize treatment, and forecast recovery.
The integration of NLP and advanced data visualization facilitates deeper insights and improved clinical decision-making. Economic
analyses and benchmarking contribute to quality improvement and system efficiency. Emphasis is placed on ethical data handling
and the emerging potential of artificial intelligence to further advance rehabilitation outcomes.
