Fig. 1From: Using machine learning to develop a clinical prediction model for SSRI-associated bleeding: a feasibility studyReceiver operator curves with area under the curve (AUC) scores. Higher AUC score represents better model performance. Baseline characteristics of participants in each cohort served as features for bleeding event prediction with logistic regression (LR), decision tree (DT), random forest (RF) and extreme gradient boosting (XGB) machine learning modelsBack to article page