Machine learning models for predicting in-hospital outcomes after non-surgical treatment among patients with moderate-to-severe traumatic brain injury
Author:
Funder
Natural Science Foundation of Shandong Province
Publisher
Elsevier BV
Subject
Physiology (medical),Neurology (clinical),Neurology,General Medicine,Surgery
Reference24 articles.
1. Machine learning algorithms for improved prediction of in-hospital outcomes after moderate-to-severe traumatic brain injury: a chinese retrospective cohort study;Zhang;Acta Neurochir (Wien),2023
2. Traumatic brain injury: progress and challenges in prevention, clinical care, and research;Maas;Lancet Neurol,2022
3. Management of moderate to severe traumatic brain injury: an update for the intensivist;Meyfroidt;Intensive Care Med,2022
4. Management of penetrating traumatic brain injury: operative versus non-operative intervention;D'Agostino;J Surg Res,2021
5. National Institute of Neurological Disorders and Stroke (2023). Traumatic brain injury: hope through research. https://www.ninds.nih.gov/Disorders/Patient-Caregiver-Education/Hope-Through-Research/Traumatic-Brain-Injury-Hope-Through. Accessed Sep 5, 2023.
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