Copyright
©The Author(s) 2022.
World J Clin Cases. Apr 16, 2022; 10(11): 3389-3400
Published online Apr 16, 2022. doi: 10.12998/wjcc.v10.i11.3389
Published online Apr 16, 2022. doi: 10.12998/wjcc.v10.i11.3389
Figure 3 Validation and comparison of the predictive model.
A: Area under the receiver operating characteristic curve (AUC) to assess the performance of response after neoadjuvant chemotherapy (rNACT) risk prediction of machine learning based models; B: AUC to assess the performance of rNACT risk prediction of generalized linear model (GLM); C: Discriminative evaluation of support vector machine in predicting rNACT; D: Discriminative evaluation of GLM in predicting rNACT. SVM: Support vector machine; GLM: Generalized linear model.
- Citation: Ke ZR, Chen W, Li MX, Wu S, Jin LT, Wang TJ. Added value of systemic inflammation markers for monitoring response to neoadjuvant chemotherapy in breast cancer patients. World J Clin Cases 2022; 10(11): 3389-3400
- URL: https://www.wjgnet.com/2307-8960/full/v10/i11/3389.htm
- DOI: https://dx.doi.org/10.12998/wjcc.v10.i11.3389