An explainable machine learning model for predicting in-hospital infection in patients with systemic lupus erythematosus
A high-performance, explainable ML model using nine routinely available clinical variables to accurately predict in-hospital infection risk in SLE patients is developed and validated and has the potential to guide personalized clinical stratification and early intervention, ultimately improving patient outcomes.