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©The Author(s) 2022.
World J Gastroenterol. Sep 7, 2022; 28(33): 4846-4860
Published online Sep 7, 2022. doi: 10.3748/wjg.v28.i33.4846
Published online Sep 7, 2022. doi: 10.3748/wjg.v28.i33.4846
Figure 1 Feature selection using the least absolute shrinkage and selection operator binary logistic regression model.
A: Least absolute shrinkage and selection operator (LASSO) coefficient profiles of the 42 baseline features; B: Tuning parameter (λ) selection in the LASSO model using 10-fold cross-validation via minimum criteria.
- Citation: Liu ZY, Tian L, Sun XY, Liu ZS, Hao LJ, Shen WW, Gao YQ, Zhai HH. Development and validation of a risk prediction score for the severity of acute hypertriglyceridemic pancreatitis in Chinese patients. World J Gastroenterol 2022; 28(33): 4846-4860
- URL: https://www.wjgnet.com/1007-9327/full/v28/i33/4846.htm
- DOI: https://dx.doi.org/10.3748/wjg.v28.i33.4846