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Fig. 1 | BMC Cancer

Fig. 1

From: Development and validation of prediction models for papillary thyroid cancer structural recurrence using machine learning approaches

Fig. 1

Flowchart 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 curves

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