The purpose of this study was to identify cervical spine morphologies at risk in rugby games. A parameterized osteoarticular finite element model of the cervical spine modeled 17 subjects under three different loadings, each being representative of rugby game phases: scrum (unconstrained axial compression), tackle (full-constraint axial compression) and collapsing scrum (hyperflexion). Stress a...

Background Prediction rules for intracranial traumatic findings in patients with minor head injury are designed to reduce the use of computed tomography (CT) without missing patients at risk for complications. This study investigates whether alternative modelling techniques might improve the applicability and simplicity of such prediction rules. Methods We included 3181 patients with minor head...

The UK External Vehicle Speed Control (EVSC) project has made a prediction of the accident savings with intelligent speed adaptation (ISA), and estimated the costs and benefits of national implementation. The best prediction of accident reduction was that the fitting on all vehicles of a simple mandatory system, with which it would be impossible for vehicles to exceed the speed limit, would sav...

BACKGROUND With this study we aimed to design validated outcome prediction models in moderate and severe traumatic brain injury (TBI) using demographic, clinical, and radiological parameters. METHODS Seven hundred consecutive moderate or severe TBI patients were included in this observational prospective cohort study. After inclusion, clinical data were collected, initial head computed tomogr...

Accumulated biological knowledge is often encoded as gene sets, collections of genes associated with similar biological functions or pathways. The use of gene sets in the analyses of high-throughput gene expression data has been intensively studied and applied in clinical research. However, the main interest remains in finding modules of biological knowledge, or corresponding gene sets, signifi...

The demand for large-scale analysis and research of data on trauma from modern warfare is increasing day by day, but the amount existing not sufficient to meet such demand. In this study, an integrated modeling approach incorporating a war severity scoring algorithm (WTSS) deep neural networks (DNN) proposed. First, proposed WTSS, which uses multiple non-linear regression based characteristics ...

BACKGROUND To determine the frequency and characteristics of prehospital deaths compared with hospital deaths in different subpopulations with severe injuries. METHODS Population-based cohort study using person-based linkage of the Swedish nationwide hospital discharge register with death certificate data. In all, 28,715 injury deaths were identified among 419,137 cases of severe injury durin...

OBJECTIVE Using an automatic data-driven approach, this paper develops a prediction model that achieves more balanced performance (in terms of sensitivity and specificity) than the Canadian Assessment of Tomography for Childhood Head Injury (CATCH) rule, when predicting the need for computed tomography (CT) imaging of children after a minor head injury. METHODS AND MATERIALS CT is widely cons...

Intracranial pressure (ICP) monitoring and management have substantially improved the outcome of patients with traumatic brain injury (TBI). However, rapid elevations in ICP remain a significant problem as they may lead to secondary brain injury and worse outcome due to cerebral ischemia. Current therapy is targeted towards treating rapid ICP elevations after they occur. Ideally, anticipatory t...

Injuries have a great impact on professional soccer, due to their large influence on team performance and the considerable costs of rehabilitation for players. Existing studies in the literature provide just a preliminary understanding of which factors mostly affect injury risk, while an evaluation of the potential of statistical models in forecasting injuries is still missing. In this paper, w...