Copyright
©The Author(s) 2019.
World J Gastroenterol. Nov 21, 2019; 25(43): 6451-6464
Published online Nov 21, 2019. doi: 10.3748/wjg.v25.i43.6451
Published online Nov 21, 2019. doi: 10.3748/wjg.v25.i43.6451
Figure 5 Survival curves of the pathological TNM staging.
A: In the training set, the survival curve discrimination between stages IA and IB was poor (P = 0.240), and there was no significant difference in the survival curves between stages IIA and IIB and IIB and IIIA (P < 0.05). B: In the testing set, there was no significant difference in survival curves between stages IA and IB, IIA and IIB, and IIIA and IIIB of the pathological TNM staging (P > 0.05). pTNM: Pathological TNM.
- Citation: Que SJ, Chen QY, Qing-Zhong, Liu ZY, Wang JB, Lin JX, Lu J, Cao LL, Lin M, Tu RH, Huang ZN, Lin JL, Zheng HL, Li P, Zheng CH, Huang CM, Xie JW. Application of preoperative artificial neural network based on blood biomarkers and clinicopathological parameters for predicting long-term survival of patients with gastric cancer. World J Gastroenterol 2019; 25(43): 6451-6464
- URL: https://www.wjgnet.com/1007-9327/full/v25/i43/6451.htm
- DOI: https://dx.doi.org/10.3748/wjg.v25.i43.6451