Development of an unsupervised machine learning algorithm for the prognostication of walking ability in spinal cord injury patients-Reference-Cited by-同舟云学术

Development of an unsupervised machine learning algorithm for the prognostication of walking ability in spinal cord injury patients

Published:2020-02 Issue:2 Volume:20 Page:213-224
ISSN:1529-9430
Container-title:The Spine Journal
language:en
Short-container-title:The Spine Journal

Author:

DeVries Zachary,Hoda Mohamad,Rivers Carly S,Maher Audrey,Wai Eugene,Moravek Dita,Stratton Alexandra,Kingwell Stephen,Fallah Nader,Paquet Jérôme,Phan Philippe

Publisher

Elsevier BV

Subject

Clinical Neurology,Surgery,Orthopedics and Sports Medicine

Reference33 articles.

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2. Longitudinal prediction of quality-of-life scores and locomotion in individuals with traumatic spinal cord injury;Hiremath;Arch Phys Med Rehab,2017

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4. Motor and sensory recovery following complete tetraplegia;Waters;Arch Phys Med Rehab,1993

5. Motor and sensory recovery following incomplete paraplegia;Waters;Arch Phys Med Rehab,1994

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