Pediatric Maxillofacial Trauma: Machine Learning Based Predictive Modeling to Identify Trauma Patterns

Age showed highest importance in predicting maxillofacial trauma when machine learning algorithms were used, followed by parental education and employment as other major predictors which suggested that children from lower socioeconomic status were more prone to trauma, as employment serves as a proxy for education.