Injury prediction models enables to improve trauma outcomes for motor vehicle occupants in
accurate decision-making and early transport to appropriate trauma centers. This study aims …

A significant proportion of motor vehicle crash fatalities are potentially preventable with
improved acute care. By increasing the accuracy of triage more victims could be transported …

Many unfortunate victims in road traffic crashes do not receive ideal treatment because their
injury severity is not understood at an early stage. Swift crash severity prediction enables …

Background Precise models are necessary to estimate mortality risk following traumatic
injury to inform clinical decision making or quantify hospital performance. The Trauma and …

To undertake a reliable analysis of injury severity in road traffic accidents, a complete
understanding of important attributes is essential. As a result of the shift from traditional …

Background Providing optimal care for trauma, the leading cause of death for young adults,
remains a challenge eg, due to field triage limitations in assessing a patient's condition and …

A better understanding of injury severity risk factors is fundamental to improving crash
prediction and effective implementation of appropriate mitigation strategies. Traditional …

Crash injury severity prediction is a promising research target in traffic safety. Traditionally,
various statistical methods were used for modeling crash injury severities. In recent years …

Background Within the trauma system, the emergency department (ED) is the hospital's first
contact and is vital for allocating medical resources. However, there is generally limited …

The rapid increase in traffic volume on urban roads, over time, has altered the global traffic
scenario. Additionally, it has increased the number of road crashes, some of which are …