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
Links:
Machine learning for predicting macrophage activation syndrome in adult patient…
https://buff.ly/xeL0ap7
Apr-07-2026


