Machine learning predicts macrophage activation syndrome in adult Still’s disease – 312 AOSD – XGBoost model had 5 predictors: ferritin, splenomegaly, Plt#, cholesterol, & ESR (AUC 0.839, sensit 0.824, specificity 0.710. https://t.co/QrogaCYPCT https://t.co/Z6WgCnFTfx
