Copyright
©The Author(s) 2022.
World J Gastrointest Surg. Aug 27, 2022; 14(8): 833-848
Published online Aug 27, 2022. doi: 10.4240/wjgs.v14.i8.833
Published online Aug 27, 2022. doi: 10.4240/wjgs.v14.i8.833
Figure 1 Diagnostic evaluation of multi-parameter combined auxiliary diagnosis model building.
A: Binary logistic regression analysis; B: Discriminant analysis; C: Classification tree analysis; D: Neural network.
Figure 2 Diagnostic evaluation of the neural network multi-parameter diagnostic model building.
A: Colorectal polyps (CRP) vs colorectal cancer (CRC); B: CRP vs early stage of CRC; C: CRP vs advanced stage of CRC.
Figure 3 Diagnostic evaluation of the neural network multi-parameter diagnostic model and carcinoembryonic antigen validation.
A: Colorectal polyps (CRP) vs colorectal cancer (CRC); B: CRP vs early stage of CRC; C: CRP vs advanced stage of CRC. CEA: Carcinoembryonic antigen.
- Citation: Li J, Jiang T, Ren ZC, Wang ZL, Zhang PJ, Xiang GA. Early detection of colorectal cancer based on circular DNA and common clinical detection indicators. World J Gastrointest Surg 2022; 14(8): 833-848
- URL: https://www.wjgnet.com/1948-9366/full/v14/i8/833.htm
- DOI: https://dx.doi.org/10.4240/wjgs.v14.i8.833