Machine learning predicts improvement of functional outcomes in spinal cord injury patients after inpatient rehabilitation

Machine learning predicts improvement of functional outcomes in spinal cord injury patients after inpatient rehabilitation

IntroductionSpinal cord injury (SCI) presents a significant burden to patients, families, and the healthcare system. The ability to accurately predict functional outcomes for SCI patients is essential for optimizing rehabilitation strategies, guiding patient and family decision making, and improving...

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Bibliographic Details
Main Authors: Mohammad Rasoolinejad, Irene Say, Peter B. Wu, Xinran Liu, Yan Zhou, Nathan Zhang, Emily R. Rosario, Daniel C. Lu
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-08-01
Series:Frontiers in Rehabilitation Sciences
Subjects:
spinal cord injury (SCI)
machine learning
acute rehabilitation
computational modelling
functional outcomes
Online Access:https://www.frontiersin.org/articles/10.3389/fresc.2025.1594753/full
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https://www.frontiersin.org/articles/10.3389/fresc.2025.1594753/full

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