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
97.5%CI lower | 97.5%CI upper | OR | P value | |
Alcohol | 1.231 | 7.068 | 2.950 | 0.015 |
Ascites | 5.358 | 97.359 | 22.839 | < 0.001 |
HBV | 0.197 | 1.158 | 0.478 | 0.102 |
TBIL | 0.947 | 1.456 | 1.174 | 0.144 |
DBIL | 0.706 | 1.087 | 0.877 | 0.229 |
IBIL | 0.725 | 1.144 | 0.911 | 0.421 |
Size of main tumor | 0.865 | 5.798 | 2.239 | 0.097 |
Tumor thrombus | 0.292 | 2.549 | 0.862 | 0.789 |
TNM | 1.527 | 3.900 | 2.441 | < 0.001 |
Child-Pugh_gr1de | 0.035 | 1.402 | 0.223 | 0.11 |
ALBI score | 1.426 | 3.909 | 2.361 | 0.001 |
ALBI grade | 0.147 | 1.124 | 0.406 | 0.083 |
Age | 0.879 | 1.091 | 0.979 | 0.384 |
AST | 0.872 | 1.139 | 0.996 | 0.255 |
ALT | 0.969 | 1.001 | 0.985 | 0.343 |
- 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