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Fig. 5 | BMC Medical Genomics

Fig. 5

From: A novel proteomic-based model for predicting colorectal cancer with Schistosoma japonicum co‐infection by integrated bioinformatics analysis and machine learning

Fig. 5

Construction of a visual logistic model of CRC with S. japonicum co-infected individuals. (A) Variable combination with best AUC value shown by logistic regression ROC curve was finally included in model analysis. (B) Calibration curve showed the model was predictive. (C) For each patient, three lines are drawn upward to determine the points received from the three predictors in the nomogram. The sum of these points is located on the “Total Points” axis. Then a line is drawn downward to determine the possibility of S. japonicum infection. AUC, area under curve; ROC, receiver operating characteristic curve

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BMC Medical Genomics

ISSN: 1755-8794

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