Copyright
©The Author(s) 2025.
World J Gastroenterol. Jan 28, 2025; 31(4): 100401
Published online Jan 28, 2025. doi: 10.3748/wjg.v31.i4.100401
Published online Jan 28, 2025. doi: 10.3748/wjg.v31.i4.100401
Figure 6 Calibration plot comparing the predicted risk to the actual risk for three different models: actual model (black line), traditional model (yellow line), and machine learning model (blue line).
The performance metrics include the area under the curve and Brier score for each model. AUC: Area under the curve; ML: Machine learning.
- Citation: Liu DJ, Jia LX, Zeng FX, Zeng WX, Qin GG, Peng QF, Tan Q, Zeng H, Ou ZY, Kun LZ, Zhao JB, Chen WG. Machine learning prediction of hepatic encephalopathy for long-term survival after transjugular intrahepatic portosystemic shunt in acute variceal bleeding. World J Gastroenterol 2025; 31(4): 100401
- URL: https://www.wjgnet.com/1007-9327/full/v31/i4/100401.htm
- DOI: https://dx.doi.org/10.3748/wjg.v31.i4.100401