Individualized Risk Stratification for Early Recurrence of Hepatocellular Carcinoma: A Clinical Tool Derived from a Large-Scale (n=3084) Cohort Study
This methodologically rigorous ML framework provides a highly sensitive, data-driven tool for individual risk stratification and can guide clinicians in implementing intensified postoperative surveillance and selecting candidates for targeted adjuvant interventions, ultimately improving oncological outcomes in HCC.