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©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 5 Multivariate Cox regression analyses of overall survival.
A: Cox regression model established with preoperative data; B: Cox regression model established with preoperative data and actual overt hepatic encephalopathy (OHE) status; C: Cox regression model established with preoperative data and predicted OHE value. Na+: Sodion; AIC: Akaike information criterion; TBIL: Total bilirubin; OHE: Overt hepatic encephalopathy.
- 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