TC check: a web app for thyroid cancer recurrence prediction using explainable machine learning

The study presented an effective and interpretable stacking ensemble learning framework for predicting TC recurrence. By deploying the proposed framework as a web prediction tool, it enables explainable and individualized clinical decision support, thereby enhancing its translational value in real-world settings. Furthermore, the framework serves as a methodological reference for recurrence prediction in other cancer types.