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 7 Performances of the newly developed prediction models and traditional scoring systems for internal and external validation.
A: The receiver operating characteristic (ROC) curve for the random forest (RF) model and the logistic regression (LR) model; B: Receiver operating characteristic curve for models RF, LR, A and B; C: The performance matrix comparison for the RF model and the LR model; D: The performance matrix for models RF, LR and A. Internal validation: A and C. External validation: B and D. The performance matrix of RF, LR and model A models are shown in blue, orange and green, respectively. AUC: Area under the receiver operating characteristic curve.
- 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