Development and validation of an XGBoost-algorithm-powered survival model for predicting in-hospital mortality based on 545,388 isolated severe traumatic brain …
Background: Traumatic brain injury (TBI) represents a significant global health issue; the
traditional tools such as the Glasgow Coma Scale (GCS) and Abbreviated Injury Scale (AIS) …
traditional tools such as the Glasgow Coma Scale (GCS) and Abbreviated Injury Scale (AIS) …
Prognostic factors and clinical nomogram for in-hospital mortality in traumatic brain injury
T Tunthanathip, N Phuenpathom, A Jongjit - The American Journal of …, 2024 - Elsevier
Background Traumatic brain injury (TBI) is a major cause of death and functional disability in
the general population. The nomogram is a clinical prediction tool that has been researched …
the general population. The nomogram is a clinical prediction tool that has been researched …
Refining outcome prediction after traumatic brain injury with machine learning algorithms
Outcome after traumatic brain injury (TBI) is typically assessed using the Glasgow outcome
scale extended (GOSE) with levels from 1 (death) to 8 (upper good recovery). Outcome …
scale extended (GOSE) with levels from 1 (death) to 8 (upper good recovery). Outcome …
Nomogram for Predicting Central Nervous System Infection Following Traumatic Brain Injury in the Elderly
W Zhao, S Guo, Z Xu, Y Wang, Y Kou, S Tian, Y Qi… - World Neurosurgery, 2024 - Elsevier
Objective This study aims to identify risk factors for central nervous system (CNS) infection in
elderly patients hospitalized with traumatic brain injury (TBI) and to develop a reliable …
elderly patients hospitalized with traumatic brain injury (TBI) and to develop a reliable …
Development of a novel machine learning model based on laboratory and imaging indices to predict acute cardiac injury in cancer patients with COVID-19 infection: a …
G Wan, X Wu, X Zhang, H Sun, X Yu - Journal of Cancer Research and …, 2023 - Springer
Purpose Due to the increased risk of acute cardiac injury (ACI) and poor prognosis in cancer
patients with COVID-19 infection, our aim was to develop a novel and interpretable model …
patients with COVID-19 infection, our aim was to develop a novel and interpretable model …
Development and validation of a nomogram for predicting mortality in patients with acute severe traumatic brain injury: A retrospective analysis
H Wang, Y Liu, J Yuan, Y Wang, Y Yuan, Y Liu… - Neurological …, 2024 - Springer
Background Recent evidence links the prognosis of traumatic brain injury (TBI) to various
factors, including baseline clinical characteristics, TBI specifics, and neuroimaging …
factors, including baseline clinical characteristics, TBI specifics, and neuroimaging …
Predictors of Mortality Due to Severe Traumatic Brain Injury: a Prospective Observational Cohort Study With 1-year Analyses
JV Gonçalves, PHC Lirio, LR Nascimento, CB Louzada… - 2023 - researchsquare.com
Background Many predictors are associated with higher risks of hospital mortality due to
severe Traumatic Brain Injury (TBI). The identification of these predictive factors is important …
severe Traumatic Brain Injury (TBI). The identification of these predictive factors is important …
Development and Validation of a Clinical Nomogram for Predicting the Poor Prognosis of Traumatic Brain Injury Prehospital: A Retrospective Study
B Wang, Y Liu, J Xing, H Zhang, S Ye - Available at SSRN 4743921 - papers.ssrn.com
Objective: Traumatic brain injury (TBI) is a major public health problem, early identification
and assessment of poor outcomes in patients with TBI is challenging. Based on the …
and assessment of poor outcomes in patients with TBI is challenging. Based on the …