… could predict mortality in a real-time fashion during intensive care after traumatic brain injury.
… ] and Glasgow Coma Scale [GCS]) to predict 30-day mortality. We used a stratified cross-…

… This study aimed to construct an optimal model of ML for mortality prediction among patients
with moderate and severe TBI by using data from a population-based trauma registry in a …

… Together these measures constitute the variable we expected to be a significant predictor
variable of mortality in our sample of traumatic brain injury patients. The rationale for this …

… Logistic regression analysis was used for customization of the APACHE II, SAPS II and
SOFA-based prediction models for six-month mortality prediction. The risk of death is calculated …

… prediction: the mean statistical measures were 100% sensitivity, 72.3% specificity, 91.7% …
poor outcome and mortality. Our results indicate the relatively good predictive performance of …

… Injury Score of head region (HAIS) are validated prognostic factors in traumatic brain injury
(TBI)… The aim was to compare the prognostic performance of a HAIS-based prediction model …

… Then, utilization of the patient scores from our sTBI mortality prediction model may help
clinicians, along with parents, to determine the aggressiveness of therapy and, thereby, …

… Prognostic prediction of traumatic brain injury (TBI) in patients is crucial in clinical decision …
and validate prediction models for in-hospital mortality after severe traumatic brain injury (sTBI…

… model to dynamically predict the risk of mortality in patients … The algorithm provides dynamic
mortality predictions during … The ICP-MAP-CPP algorithm for dynamic mortality prediction …

… and systematic exploration of the predictive factors related to … Whether there are differences
in predicting prognosis … establish predictive models for patients with traumatic brain injuries(…