Development and external validation of machine learning-based models to predict patients with cellulitis developing sepsis during hospitalisation.

Boosting and neural network models performed slightly better than the LR model and were more robust in complex clinical situations. The results could provide a tool for clinicians to detect hospitalised patients with cellulitis developing sepsis early.