Copyright
©The Author(s) 2021.
World J Clin Cases. Oct 6, 2021; 9(28): 8388-8403
Published online Oct 6, 2021. doi: 10.12998/wjcc.v9.i28.8388
Published online Oct 6, 2021. doi: 10.12998/wjcc.v9.i28.8388
Figure 2 Feature selection.
Thirteen predictors were selected in the information gain algorithm and were to train the random forest (RF) model. Six predictors with P < 0.05 were selected in the multivariate logistic regression (LR) analysis and were used to train the LR model. COVID-19: Coronavirus disease 2019; LASSO: Least absolute shrinkage and selection operator.
- Citation: Huang HF, Liu Y, Li JX, Dong H, Gao S, Huang ZY, Fu SZ, Yang LY, Lu HZ, Xia LY, Cao S, Gao Y, Yu XX. Validated tool for early prediction of intensive care unit admission in COVID-19 patients. World J Clin Cases 2021; 9(28): 8388-8403
- URL: https://www.wjgnet.com/2307-8960/full/v9/i28/8388.htm
- DOI: https://dx.doi.org/10.12998/wjcc.v9.i28.8388