Copyright
©The Author(s) 2024.
World J Gastrointest Surg. Feb 27, 2024; 16(2): 345-356
Published online Feb 27, 2024. doi: 10.4240/wjgs.v16.i2.345
Published online Feb 27, 2024. doi: 10.4240/wjgs.v16.i2.345
Figure 3 Feature selection using least absolute shrinkage and selection operator regression.
A: Least absolute shrinkage and selection operator (LASSO) coefficient path for radiomics features selection; B: LASSO regularization path of radiomics features.
- Citation: Xiang YH, Mou H, Qu B, Sun HR. Machine learning-based radiomics score improves prognostic prediction accuracy of stage II/III gastric cancer: A multi-cohort study. World J Gastrointest Surg 2024; 16(2): 345-356
- URL: https://www.wjgnet.com/1948-9366/full/v16/i2/345.htm
- DOI: https://dx.doi.org/10.4240/wjgs.v16.i2.345