Copyright
©The Author(s) 2024.
World J Gastrointest Oncol. Sep 15, 2024; 16(9): 3839-3850
Published online Sep 15, 2024. doi: 10.4251/wjgo.v16.i9.3839
Published online Sep 15, 2024. doi: 10.4251/wjgo.v16.i9.3839
Figure 1 Study design.
HCC: Hepatocellular carcinoma; LR: Logistic regression; SVM: Support vector machine; RF: Random forest; LASSO: Least absolute shrinkage and selection operator; ROC: Receiver operating characteristic; DCA: Decision curve analysis.
- Citation: Wang YY, Yang WX, Du QJ, Liu ZH, Lu MH, You CG. Construction and evaluation of a liver cancer risk prediction model based on machine learning. World J Gastrointest Oncol 2024; 16(9): 3839-3850
- URL: https://www.wjgnet.com/1948-5204/full/v16/i9/3839.htm
- DOI: https://dx.doi.org/10.4251/wjgo.v16.i9.3839