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©The Author(s) 2025.
World J Gastroenterol. Feb 7, 2025; 31(5): 101722
Published online Feb 7, 2025. doi: 10.3748/wjg.v31.i5.101722
Published online Feb 7, 2025. doi: 10.3748/wjg.v31.i5.101722
Figure 4 Kaplan-Meier curve analysis showing the efficacy of artificial neural networks levels as a predictor of 5-year mortality in patients with Barcelona Clinic Liver Cancer 0-A hepatocellular carcinoma after surgical resection across training and validation sets, different age groups, etiologies, and alpha-fetoprotein levels in the entire cohort.
A: Kaplan-Meier survival curves for the training cohort; B: Validation cohort; C: Age < 60 years; D: Age ≥ 60 years; E: Patients with hepatitis B virus (HBV) infection; F: Patients without HBV infection; G: Alpha-fetoprotein (AFP) < 400 ng/mL; H: AFP ≥ 400 ng/mL. P values were obtained using the log-rank test. AFP: Alpha-fetoprotein; HBV: Hepatitis B virus.
- Citation: Zhang Y, Shi K, Feng Y, Wang XB. Machine learning model using immune indicators to predict outcomes in early liver cancer. World J Gastroenterol 2025; 31(5): 101722
- URL: https://www.wjgnet.com/1007-9327/full/v31/i5/101722.htm
- DOI: https://dx.doi.org/10.3748/wjg.v31.i5.101722