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Fig. 1 | BMC Cancer

Fig. 1

From: A case-control study of a combination of single nucleotide polymorphisms and clinical parameters to predict clinically relevant toxicity associated with fluoropyrimidine and platinum-based chemotherapy in gastric cancer

Fig. 1

Performance of platinum/fluoropyrimidines-based chemotherapy toxicity prediction models using different classification algorithms. The sensitivity (green line), specificity (red line), accuracy (blue line) and AUCs of ROC curve of models (bar figure) were shown. Overall toxicity prediction model 1 (A), model 2 (B), model 3 (C) and model 4 (D). LR. logistic regression; SVM. support vector machine; NB. naïve Bayesian; KNN. k-nearest neighbor; ANN. artificial neural network; RF. random forest; DT. decision tree. N.E; not evaluated

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BMC Cancer

ISSN: 1471-2407

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