Early detection of nasopharyngeal carcinoma through machine-learning-driven prediction model in a population-based healthcare record database.

ML approaches using electronic medical records accurately predicted NPC occurrence. The risk prediction model serves as a low-cost digital screening tool, offering rapid medical decision support to shorten prediagnostic periods. Timely referral is crucial for high-risk patients identified by the model.