בשל "הגנת זכויות יוצרים", מובא להלן קישור למאמר בלבד. לקריאתו בטקסט מלא, אנא פנה לספרייה הרפואית הזמינה לך.

Predicting survival of oral squamous cell carcinoma through the use of prediction modeling has been underused, and the development of prediction models would augment clinicians’ ability to provide absolute risk estimates for individual patients.

A retrospective cohort study was conducted of 33 065 patients with oral squamous cell carcinoma from the National Cancer Data Base between January 1, 2004, and December 31, 2011.

develop a prediction model using machine learning for 5-year overall survival among patients with oral squamous cell carcinoma and compare this model with a prediction model created from the TNM (Tumor, Node, Metastasis) clinical and pathologic stage.