Variable selection in gender and age decision-making for traumatic spine and thoracic pathologies after various accidents with Multivariate Adaptive Regression Spline (MARS)

Trauma is a condition that affects the body’s structure and results from outside factors. After heart disease cancer, it most common cause of death across all age categories. For variety causes, people are routinely exposed to traumatic vertebral, thoracic pathologies rib fractures. Ribs can be harmed by simple falls, impacts, blunt injuries as well broken due car accidents falling height. Magnetic resonance imaging or computed tomography used diagnose these In this study, non-linear complex methods were categorize gender utilizing pathologies, fractures cracks in body result traffic height, which have feature being case forensic issues. The important data classification determined Multivariate Adaptive Regression Spline (MARS) method. Although autopsy should utilized situations, regression intended an impact on quick accurate decision-making about events order speed up direct process field medicine. As result, effectiveness experts subsequent predictions will increased preliminary findings produced real-world artificial intelligence algorithms problems.