Copyright
©The Author(s) 2024.
World J Gastrointest Oncol. Jan 15, 2024; 16(1): 90-101
Published online Jan 15, 2024. doi: 10.4251/wjgo.v16.i1.90
Published online Jan 15, 2024. doi: 10.4251/wjgo.v16.i1.90
Figure 2 Predictive performance of the developed model.
Model discrimination was evaluated based on area under the curve values, which were (A) 0.844 in the training set and (B) 0.803 in the prediction set. ROC: Receiver operating characteristics.
- Citation: Li J, Jia YM, Zhang ZL, Liu CY, Jiang ZW, Hao ZW, Peng L. Development and validation of a machine learning-based early prediction model for massive intraoperative bleeding in patients with primary hepatic malignancies. World J Gastrointest Oncol 2024; 16(1): 90-101
- URL: https://www.wjgnet.com/1948-5204/full/v16/i1/90.htm
- DOI: https://dx.doi.org/10.4251/wjgo.v16.i1.90