Retrospective Study
Copyright ©The Author(s) 2024.
World J Gastrointest Surg. Jun 27, 2024; 16(6): 1670-1680
Published online Jun 27, 2024. doi: 10.4240/wjgs.v16.i6.1670
Figure 1
Figure 1 Patient inclusion and randomization flow charts.
Figure 2
Figure 2 Feature variable selection based on least absolute shrinkage and selection operator regression. A: Tenfold cross-validation chart; B: Shrinkage coefficient chart.
Figure 3
Figure 3 Receiver operating characteristic curve of the model for predicting liver metastasis in patients with colorectal cancer. A: Modeling group; B: Verification group. ALT: Alanine aminotransferase; CEA: Carcinoembryonic antigen; ALBI: Albumin-bilirubin.
Figure 4
Figure 4 Calibration curves of the least absolute shrinkage and selection operator logistic regression model. A: Modeling group; B: Verification group.
Figure 5
Figure 5 Decision curve analysis of the least absolute shrinkage and selection operator logistic regression model. A: Modeling group; B: Verification group.
Figure 6
Figure 6 Nomogram prediction model for liver metastasis of colorectal cancer. ALT: Alanine aminotransferase; CEA: Carcinoembryonic antigen; ALBI: Albumin-bilirubin.