A Graph Neural Network-Based Clinical Decision Support System for Personalized Cancer Prognosis Integrating Genomic, Radiological, and Histopathological Data
Background: Proper prognosis of adolescent cancer is still a difficult issue as genomic, radiological, histopathological and clinical data are heterogenous and hard to coordinate and construct. Purpose: The suggested research is a Graph Neural Network (GNN)-based Clinical Decision Support System to individually prognos...