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Comparing performance of seven SUD prediction algorithms at the four follow-up visits according to thirty selected features and entire dataset. Abbreviations: RF, random forest; SVM, support vector machine; Bayesian, naïve Bayes; AdaBoost, adaptive boost; MLP, multilayer perceptron; AUROC, area under the receiver operating characteristic curve; HS, high severity.
