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©The Author(s) 2023.
World J Gastroenterol. Jun 28, 2023; 29(24): 3855-3870
Published online Jun 28, 2023. doi: 10.3748/wjg.v29.i24.3855
Published online Jun 28, 2023. doi: 10.3748/wjg.v29.i24.3855
Figure 1 Flow chart display.
Flow chart showing the process of model generation validation of the model. RF: Random forest; GBDT: Gradient boosting decision tree; ET: Extremely randomized trees; LR: Logistic regression; XGBoost: Extreme gradient boosting.
- Citation: Mao J, Chao K, Jiang FL, Ye XP, Yang T, Li P, Zhu X, Hu PJ, Zhou BJ, Huang M, Gao X, Wang XD. Comparison and development of machine learning for thalidomide-induced peripheral neuropathy prediction of refractory Crohn’s disease in Chinese population. World J Gastroenterol 2023; 29(24): 3855-3870
- URL: https://www.wjgnet.com/1007-9327/full/v29/i24/3855.htm
- DOI: https://dx.doi.org/10.3748/wjg.v29.i24.3855