Artificial neural network predicts hemorrhagic contusions following decompressive craniotomy in traumatic brain injury-Reference-Cited by-同舟云学术

Artificial neural network predicts hemorrhagic contusions following decompressive craniotomy in traumatic brain injury

Published:2021-01 Issue:1 Volume:65 Page:
ISSN:0390-5616
Container-title:Journal of Neurosurgical Sciences
language:
Short-container-title:J Neurosurg Sci

Author:

WANG Jian-Li,JIN Guo-Liang,YUAN Zi-Gang

Publisher

Edizioni Minerva Medica

Subject

Clinical Neurology,Surgery

Link

https://www.minervamedica.it/pdf.php?cod=R38Y2021N01A0069

Reference22 articles.

1. Decompressive craniectomy for neurotrauma: the limitations of applying an outcome prediction model

2. Decompressive craniectomy: a meta-analysis of influences on intracranial pressure and cerebral perfusion pressure in the treatment of traumatic brain injury

3. Validation of a prognostic score for early mortality in severe head injury cases

4. Early predictive factors on mortality in head injured patients: a retrospective analysis of 112 traumatic brain injured patients;Prisco L;J Neurosurg Sci,2012

5. Elevated C-reactive protein levels may be a predictor of persistent unfavourable symptoms in patients with mild traumatic brain injury: A preliminary study

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4. New or Blossoming Hemorrhagic Contusions After Decompressive Craniectomy in Traumatic Brain Injury: Analysis of Risk Factors;Frontiers in Neurology;2019-01-15