Random Forest–Based Prediction of Outcome and Mortality in Patients with Traumatic Brain Injury Undergoing Primary Decompressive Craniectomy-Reference-Cited by-同舟云学术

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Random Forest–Based Prediction of Outcome and Mortality in Patients with Traumatic Brain Injury Undergoing Primary Decompressive Craniectomy

Published:2021-04 Issue: Volume:148 Page:e450-e458
ISSN:1878-8750
Container-title:World Neurosurgery
language:en
Short-container-title:World Neurosurgery

Author:

Hanko Martin,Grendár Marián,Snopko Pavol,Opšenák René,Šutovský Juraj,Benčo Martin,Soršák Jakub,Zeleňák Kamil,Kolarovszki Branislav

Funder

Univerzita Komenského v Bratislave

Publisher

Elsevier BV

Subject

Clinical Neurology,Surgery

Reference61 articles.

1. Consensus statement from the International Consensus Meeting on the Role of Decompressive craniectomy in the Management of Traumatic Brain Injury : Consensus statement;Hutchinson;Acta Neurochir (Wien),2019

2. Guidelines for the management of severe traumatic brain injury: 2020 update of the decompressive craniectomy recommendations;Hawryluk;Neurosurgery,2020

3. Effects of decompressive craniectomy on brain tissue oxygen in patients with intracranial hypertension;Jaeger;J Neurol Neurosurg Psychiatry,2003

4. Decompressive craniectomy in diffuse traumatic brain injury;Cooper;N Engl J Med,2011

5. Trial of decompressive craniectomy for traumatic intracranial hypertension;Hutchinson;N Engl J Med,2016

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4. Artificial Intelligence and Machine Learning Applications in Critically Ill Brain Injured Patients;Seminars in Neurology;2024-04-03

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