Alina Morozova

74 Development and evaluation of a personalised prognostic prediction model for overall survival in patients with glioblastoma using machine-learning methods

Seven survival models representing linear, tree-based, and neural-network techniques were assessed and demonstrated competitive performance compared with published studies, with chemoradiotherapy, extent of resection, MGMT methylation status, age, and performance status identified as the most influential predictors.