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©The Author(s) 2020.
World J Gastrointest Oncol. Apr 15, 2020; 12(4): 483-491
Published online Apr 15, 2020. doi: 10.4251/wjgo.v12.i4.483
Published online Apr 15, 2020. doi: 10.4251/wjgo.v12.i4.483
Figure 1 Binary logistic analysis and discriminant analysis results of normal control vs gastric cancer, gastric polyp vs gastric cancer.
A: Receiver operating characteristic (ROC) of the binary logistic regression analysis of normal control vs gastric cancer (GC); B: ROC of the binary logistic regression analysis of gastric polyp vs GC; C: ROC of the discriminant analysis of normal control vs GC; D: ROC of the discriminant analysis of gastric polyp vs GC.
Figure 2 Artificial neural network analysis and classification tree analysis results of normal control vs gastric cancer, gastric polyp vs gastric cancer.
A: Receiver operating characteristic (ROC) of the classification tree analysis of normal control vs gastric cancer (GC); B: ROC of the classification tree analysis of gastric polyp vs GC; C: ROC of the artificial neural network analysis of normal control vs GC; D: ROC of the artificial neural network analysis of gastric polyp vs GC.
- Citation: Zhang ZG, Xu L, Zhang PJ, Han L. Evaluation of the value of multiparameter combined analysis of serum markers in the early diagnosis of gastric cancer. World J Gastrointest Oncol 2020; 12(4): 483-491
- URL: https://www.wjgnet.com/1948-5204/full/v12/i4/483.htm
- DOI: https://dx.doi.org/10.4251/wjgo.v12.i4.483