Development of a regional-based predictive model of incidence of traumatic spinal cord injury using machine learning algorithms-Reference-Cited by-同舟云学术

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Development of a regional-based predictive model of incidence of traumatic spinal cord injury using machine learning algorithms

Published:2024-07 Issue: Volume:23 Page:100280
ISSN:2590-1397
Container-title:World Neurosurgery: X
language:en
Short-container-title:World Neurosurgery: X

Author:

Jazayeri Seyed Behnam,Maroufi Seyed Farzad,Akbarinejad Shaya,Ghodsi Zahra^ORCID,Rahimi-Movaghar Vafa^ORCID

Funder

Tehran University of Medical Sciences and Health Services

Publisher

Elsevier BV

Reference25 articles.

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

2. Incidence, prevalence and epidemiology of spinal cord injury: what learns a worldwide literature survey?;Wyndaele;Spinal Cord,2006

3. Direct health care costs after traumatic spinal cord injury;Dryden;J Trauma Acute Care Surg,2005

4. The economic burden of traumatic spinal cord injury in Canada;Krueger;Chronic diseases and injuries in Canada,2013

5. Incidence of traumatic spinal cord injury worldwide: a systematic review, data integration, and update. World neurosurgery: X;Jazayeri;Apr,2023

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Simulation and prediction study based on Lotka-Volterra model and grey neural network;Third International Conference on Electronic Information Engineering and Data Processing (EIEDP 2024);2024-07-05

2. Spinal Cord Injury Identification and Localization Detection Based on MRI Imaging and Deep Learning Technology;Traitement du Signal;2024-04-30

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