In neurointensive care units (NICUs), particularly in cases involving traumatic brain injury
(TBI), swift and accurate decision-making is critical because of rapidly changing patient …

Introduction Numerous complex physiological models derived from intracranial pressure
(ICP) monitoring data have been developed. More recently, techniques such as machine …

The mortality prediction model in the Intensive Care Unit (ICU) can be a great tool for
assisting physicians in decision-making for the optimal allocation of ICU according to the …

Based on the current evidence, serial clinical assessment, neuroimaging, intracranial and
cerebral perfusion pressure and brain tissue oxygen monitoring are key components of sTBI …

Background Accidental hypothermia is a critical condition with high risks of fatal arrhythmia,
multiple organ failure, and mortality; however, there is no established model to predict the …

For almost a century, classical statistical methods including exponential smoothing and
autoregression integrated moving averages (ARIMA) have been predominant in the analysis …

摘要目的: 探讨目标导向液体(GDFT) 治疗联合右美托咪定对创伤性颅脑损伤(TBI)
患者血流动力学, 脑氧代谢及炎症因子的影响. 方法: 选取2016 年3 月~ 2019 年3 …

In this work, we compare the performance of a multilayer perceptron neural network and
convolutional networks for the prediction of 14-day mortality in patients with TBI, using a …

This work aimed to identify pre-existing health conditions of patients with traumatic brain
injury (TBI) and develop predictive models for the first TBI event and its external causes by …

Background: Traumatic brain injury (TBI) is a major cause of death and disability. Episodes
of hypotension are associated with worse TBI outcomes. Our aim was to model the real-time …