A supervised machine learning model for identifying predictive factors for recommending head and neck cancer surgery.

ML modeling accurately predicts head and neck cancer surgery recommendations based on patient and cancer information from a large population-based dataset. ML adjuncts for referral processing may decrease the time to treatment for patients with cancer.