Improving sepsis mortality prediction with machine learning: A comparative study of advanced classifiers and performance metrics

The LightGBM-based model demonstrated superior performance in predicting sepsis-related mortality in an ambulance setting. This study underscores the practical applicability of machine learning models, addressing the limitations of previous research, and highlights the importance of real-time updates and hyperparameter tuning in optimizing model performance.