Predicting the Outcome and Survival of Patients with Spinal Cord Injury Using Machine Learning Algorithms: A Systematic Review-Reference-Cited by-同舟云学术

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Predicting the Outcome and Survival of Patients with Spinal Cord Injury Using Machine Learning Algorithms: A Systematic Review

Published:2024-08 Issue: Volume:188 Page:150-160
ISSN:1878-8750
Container-title:World Neurosurgery
language:en
Short-container-title:World Neurosurgery

Author:

Habibi Mohammad Amin^ORCID,Naseri Alavi Seyed Ahmad^ORCID,Soltani Farsani Ali,Mousavi Nasab Mohammad Mehdi,Tajabadi Zohreh^ORCID,Kobets Andrew J.^ORCID

Publisher

Elsevier BV

Reference44 articles.

1. Spinal cord injury medicine. 3. Rehabilitation phase after acute spinal cord injury;Kirshblum;Arch Phys Med Rehabil,2007

2. The global map for traumatic spinal cord injury epidemiology: update 2011, global incidence rate;Lee;Spinal Cord,2014

3. The epidemiology of traumatic spinal cord injury in British Columbia, Canada;Lenehan;Spine,2012

4. Global prevalence and incidence of traumatic spinal cord injury;Singh;Clin Epidemiol,2014

5. Mortality and longevity after a spinal cord injury: systematic review and meta-analysis;Chamberlain;Neuroepidemiology,2015

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1. Artificial Intelligence and Machine Learning in Spine Research: A New Frontier;Bioengineering;2024-09-13

2. Predicting telomerase reverse transcriptase promoter mutation in glioma: A systematic review and diagnostic meta-analysis on machine learning algorithms;The Neuroradiology Journal;2024-08-05

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