Open access
Aug 2026
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.
Alina Morozova, Elizabeth Ford, Giles Critchley et al.
· Neuro-Oncology · 0 citations