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Published on in Vol 15 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/95236, first published .
Medical professionals analyze patient's nervous system data on a holographic display.

Machine Learning–Based Predictive Model for Functional Independence in Spinal Cord Injury: Protocol for a Predictive Rule Development and Validation Study

Machine Learning–Based Predictive Model for Functional Independence in Spinal Cord Injury: Protocol for a Predictive Rule Development and Validation Study

Alberto Isaac Perez-Sanpablo   1 * , PhD ;   Marlene Alejandra Rodriguez-Barragan   2 * , MD, MSc ;   Alicia Meneses-Peñaloza   3 * , MD, MSc ;   Jimena Quinzaños-Fresnedo   2 , MD, PhD ;   Aida Barrera-Ortiz   2 , MD ;   Fabiola Monserrat Palomino-Ramos   2 , MD ;   Oscar Prado-Escobar   2 , MD ;   Marcela D Rodríguez   4 , PhD ;   Irvin Hussein Lopez-Nava   5 , PhD ;   Jose Ambrosio-Bastian   6 , PhD

1 Motion Analysis and Rehabilitation Engineering Lab, Instituto Nacional de Rehabilitación, Mexico City, Mexico

2 Neurologic Rehabilitation Division, Instituto Nacional de Rehabilitación, Mexico City, Mexico

3 Pediatric Rehabilitation Division, Instituto Nacional de Rehabilitación, Mexico City, Mexico

4 Faculty of Engineering, Universidad Autónoma de Baja California, Mexicali, Baja California, Mexico

5 Data Science and Machine Learning Lab, Centro de Investigación Científica y de Educación Superior de Ensenada (CICESE), Ensenada, Baja California, Mexico

6 Universidad Tecnológica de México (UNITEC), Mexico City, Mexico

*these authors contributed equally

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