Traumatic brain injury: progress and challenges in prevention, clinical care, and research
Executive summary Traumatic brain injury (TBI) has the highest incidence of all common
neurological disorders, and poses a substantial public health burden. TBI is increasingly …
neurological disorders, and poses a substantial public health burden. TBI is increasingly …
A systematic review on intracranial aneurysm and hemorrhage detection using machine learning and deep learning techniques
SN Ahmed, P Prakasam - Progress in Biophysics and Molecular Biology, 2023 - Elsevier
The risk of discovering an intracranial aneurysm during the initial screening and follow-up
screening are reported as around 11%, and 7% respectively (Zuurbie et al., 2023) to these …
screening are reported as around 11%, and 7% respectively (Zuurbie et al., 2023) to these …
XGBoost machine learning algorism performed better than regression models in predicting mortality of moderate-to-severe traumatic brain injury
R Wang, L Wang, J Zhang, M He, J Xu - World Neurosurgery, 2022 - Elsevier
Background Traumatic brain injury (TBI) brings severe mortality and morbidity risk to
patients. Predicting the outcome of these patients is necessary for physicians to make …
patients. Predicting the outcome of these patients is necessary for physicians to make …
Prognosis prediction in traumatic brain injury patients using machine learning algorithms
Predicting treatment outcomes in traumatic brain injury (TBI) patients is challenging
worldwide. The present study aimed to achieve the most accurate machine learning (ML) …
worldwide. The present study aimed to achieve the most accurate machine learning (ML) …
Random forest–based prediction of outcome and mortality in patients with traumatic brain injury undergoing primary decompressive craniectomy
M Hanko, M Grendár, P Snopko, R Opšenák… - World neurosurgery, 2021 - Elsevier
Background Various prognostic models are used to predict mortality and functional outcome
in patients after traumatic brain injury with a trend to incorporate machine learning protocols …
in patients after traumatic brain injury with a trend to incorporate machine learning protocols …
[HTML][HTML] Machine learning algorithms for predicting outcomes of traumatic brain injury: A systematic review and meta-analysis
E Courville, SF Kazim, J Vellek… - Surgical neurology …, 2023 - ncbi.nlm.nih.gov
Background: Traumatic brain injury (TBI) is a leading cause of death and disability
worldwide. The use of machine learning (ML) has emerged as a key advancement in TBI …
worldwide. The use of machine learning (ML) has emerged as a key advancement in TBI …
Predicting outcome of traumatic brain injury: is machine learning the best way?
R Bruschetta, G Tartarisco, LF Lucca, E Leto, M Ursino… - Biomedicines, 2022 - mdpi.com
One of the main challenges in traumatic brain injury (TBI) patients is to achieve an early and
definite prognosis. Despite the recent development of algorithms based on artificial …
definite prognosis. Despite the recent development of algorithms based on artificial …
Applicability of machine learning technique in the screening of patients with mild traumatic brain injury
ML Terabe, M Massago, PH Iora, TA Hernandes Rocha… - Plos one, 2023 - journals.plos.org
Even though the demand of head computed tomography (CT) in patients with mild traumatic
brain injury (TBI) has progressively increased worldwide, only a small number of individuals …
brain injury (TBI) has progressively increased worldwide, only a small number of individuals …
Predicting 90-day prognosis for patients with stroke: a machine learning approach
Background Stroke is a significant global health burden and ranks as the second leading
cause of death worldwide. Objective This study aims to develop and evaluate a machine …
cause of death worldwide. Objective This study aims to develop and evaluate a machine …
Prediction performance of the machine learning model in predicting mortality risk in patients with traumatic brain injuries: a systematic review and meta-analysis
J Wang, MJ Yin, HC Wen - BMC medical informatics and decision making, 2023 - Springer
Purpose With the in-depth application of machine learning (ML) in clinical practice, it has
been used to predict the mortality risk in patients with traumatic brain injuries (TBI). However …
been used to predict the mortality risk in patients with traumatic brain injuries (TBI). However …