Predicting The Complexity And Mortality Of Polytrauma Patients With Machine Learning Models

This article discusses the development of machine learning models to predict mortality and complexity for polytrauma patients upon hospital admission. The models were based on physiological indicators and clinical diagnosis data, and were found to outperform traditional scoring systems. Feature importance was also analyzed to improve interpretability.