Copyright
©The Author(s) 2023.
World J Gastrointest Surg. Sep 27, 2023; 15(9): 1978-1985
Published online Sep 27, 2023. doi: 10.4240/wjgs.v15.i9.1978
Published online Sep 27, 2023. doi: 10.4240/wjgs.v15.i9.1978
Figure 1 Nomogram for predicting postoperative stress ulcer in colorectal cancer patients.
HSP70: Heat shock protein 70; HSP90: Heat shock protein 90; GAS: Gastrin.
Figure 2 Validation of the nomogram by the receiver operating characteristic curve.
A: The training cohort; B: The validation cohort. AUC: Area under the curve.
Figure 3 Calibration plot of the nomogram for the probability of metastasis.
A: The training cohort; B: The validation cohort.
Figure 4
Prediction model decision curve analysis diagram.
- Citation: Yu DM, Wu CX, Sun JY, Xue H, Yuwen Z, Feng JX. Prediction model of stress ulcer after laparoscopic surgery for colorectal cancer established by machine learning algorithm. World J Gastrointest Surg 2023; 15(9): 1978-1985
- URL: https://www.wjgnet.com/1948-9366/full/v15/i9/1978.htm
- DOI: https://dx.doi.org/10.4240/wjgs.v15.i9.1978