Copyright
©The Author(s) 2025.
World J Gastrointest Endosc. Jul 16, 2025; 17(7): 108307
Published online Jul 16, 2025. doi: 10.4253/wjge.v17.i7.108307
Published online Jul 16, 2025. doi: 10.4253/wjge.v17.i7.108307
Table 5 Delong test results for the three models in the training set (model A: Logistic; model B: Least absolute shrinkage and selection operator; model C: Random forest)
| Model A-model B | Model A-model C | Model B-model C | |
| Z value | 1.527 | -10.036 | -10.884 |
| P value | 0.127 | < 0.001 | < 0.001 |
- Citation: Gao RX, Wang XL, Tian MJ, Li XM, Zhang JJ, Wang JJ, Gao J, Zhang C, Li ZT. Construction and validation of a machine learning algorithm-based predictive model for difficult colonoscopy insertion. World J Gastrointest Endosc 2025; 17(7): 108307
- URL: https://www.wjgnet.com/1948-5190/full/v17/i7/108307.htm
- DOI: https://dx.doi.org/10.4253/wjge.v17.i7.108307