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. 2022 Oct 1;108(1):13–25. doi: 10.1210/clinem/dgac555

Figure 5.

Figure 5.

Prediction models based on machine learning algorithm. A, Receiver operating characteristic (ROC) curve of least absolute shrinkage and selection operator (LASSO) models to discriminate Con and CH (or SCH) based on 7 selected metabolites. B, ROC curves of 3 different models to discriminate SCH and CH based on 7 selected metabolites. C, ROC curve of LASSO model to discriminate CH and SCH based on unannotated features (MS peaks currently not matched in databases), 7 selected metabolites, clinical information (age, TPOAb, TgAb, BMI, SBP, DBP, ALT, AST, CREA, UA, FBG, TC, TG, HDL-C, LDL-C) and combination of metabolites and clinical information.