Artificial neural network–based classification of gliomas using molecular and clinical data
Gliomas are the most common primary brain tumors, characterized by substantial heterogeneity in clinical course and prognosis. Accurate tumor grading remains essential for therapeutic decision-making and survival prediction. The integration of molecular and clinical variables into predictive models may improve the diag...