Development and validation of machine learning models for the prediction of blunt cerebrovascular injury in children-Reference-Cited by-同舟云学术

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Development and validation of machine learning models for the prediction of blunt cerebrovascular injury in children

Published:2021-11 Issue: Volume: Page:
ISSN:0022-3468
Container-title:Journal of Pediatric Surgery
language:en
Short-container-title:Journal of Pediatric Surgery

Author:

Farzaneh Cyrus A.^ORCID,Schomberg John^ORCID,Sullivan Brittany G.^ORCID,Guner Yigit S.,Nance Michael L.,Gibbs David^ORCID,Yu Peter T.

Publisher

Elsevier BV

Subject

General Medicine,Pediatrics, Perinatology, and Child Health,Surgery

Reference26 articles.

1. Risk factors for blunt cerebrovascular injury in children: do they mimic those seen in adults?;Kopelman;J Trauma,2011

2. Blunt cerebrovascular injury in pediatric trauma: a national database study;Harris;J Neurosurg Pediatr,2019

3. Pediatric blunt carotid injury: a review of the national pediatric trauma registry;Lew;Pediatr Neurosurg,1999

4. Analysis of blunt cerebrovascular injury in pediatric trauma;Grigorian;J Trauma Acute Care Surg,2019

5. Blunt cerebrovascular injury in children;Azarakhsh;J Trauma Acute Care Surg,2013

Cited by 4 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. Injury patterns and mortality associated with near-hanging in children;The American Journal of Emergency Medicine;2024-01

2. Risk factors for blunt cerebrovascular injury in the pediatric patient: A systematic review;The American Journal of Emergency Medicine;2023-09

3. Lower incidence of blunt cerebrovascular injury among young, properly restrained children: An ATOMAC multicenter study;Journal of Trauma and Acute Care Surgery;2023-03-11

4. Diagnostic accuracy of screening tools for pediatric blunt cerebrovascular injury: An ATOMAC multicenter study;Journal of Trauma and Acute Care Surgery;2023-01-25

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