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©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 7 Decision and clinical impact curves for use of the nomogram to predict intraoperative bleeding in patients with primary hepatic malignancies.
The model showed superior standardized net benefit over the individual factors included (ascites, alcohol consumption, TNM staging, and albumin bilirubin score). ALBI: Albumin bilirubin.
- 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