Fig. 1From: Development and validation of prediction models for papillary thyroid cancer structural recurrence using machine learning approachesFlowchart of the study (A) and the analytic steps (B). PTC, papillary thyroid cancer; Tg, thyroglobulin; TgAb, anti-thyroglobulin antibody; LASSO, least absolute shrinkage and selection operator; LR, logistic regression; XGBoost, eXtreme gradient boosting; SVM, support vector machine; RF, random forest; NN, neural network; AUCs, area under the receiver operating characteristic curvesBack to article page