Machine learning based prognostic model for oral squamous cell carcinoma using SEER data and external validation

< 0.001). These findings indicate that integrating demographic and pathological features with ML techniques yields superior risk stratification compared to anatomical staging alone. This nomogram offers a precise tool for personalized survival assessment and clinical decision-making.