A Random Forest Model for Post-Treatment Survival Prediction in Patients with Non-Squamous Cell Carcinoma of the Head and Neck.

Published in: Journal of clinical medicine (2023)

The present study incorporated the clinical, pathological, and therapeutic features comprehensively and established a clinically effective survival prediction model for post-treatment HNnSCC patients.

Keyphrases

squamous cell carcinoma
end stage renal disease
ejection fraction
newly diagnosed
climate change
prognostic factors
peritoneal dialysis
combination therapy
lymph node metastasis
replacement therapy
rectal cancer