©Author(s) (or their employer(s)) 2026.
World J Radiol. Feb 28, 2026; 18(2): 116462
Published online Feb 28, 2026. doi: 10.4329/wjr.v18.i2.116462
Published online Feb 28, 2026. doi: 10.4329/wjr.v18.i2.116462
Figure 5 Time-dependent area under the receiver operating characteristic curves of predictive models for overall survival in training and testing cohorts.
A: Time-dependent area under the receiver operating characteristic curves for predictive models on overall survival for the training cohort; B: Time-dependent area under the receiver operating characteristic curves for predictive models on overall survival for the testing cohort. AUC: Area under the receiver operating characteristic curves.
- Citation: Yang YH. Computed tomography-based nutritional associated nomogram on machine learning predicts survival outcomes in patients with resectable soft-tissue sarcoma. World J Radiol 2026; 18(2): 116462
- URL: https://www.wjgnet.com/1949-8470/full/v18/i2/116462.htm
- DOI: https://dx.doi.org/10.4329/wjr.v18.i2.116462