Survival prediction of glioblastoma patients using machine learning and deep learning: a systematic review.

ABSTRACT: Glioblastoma Multiforme (GBM), classified as a grade IV glioma by the World Health Organization (WHO), is a prevalent and notably aggressive form of brain tumor derived from glial cells. It stands as one of the most severe forms of primary brain cancer in humans. The median survival time of GBM patients is only 12-15 months, making it the most lethal type of brain tumor. Every year, about 200,000 people worldwide succumb to this disease. GBM is also highly heterogeneous, meaning that its characteristics and behavior vary widely among different patients. This leads to different outcomes and survival times for each individual. Predicting the survival of GBM patients accurately can have multiple benefits. It can enable optimal and personalized treatment planning based on the patient's conditi

SUBMITTER: Poursaeed R 

PROVIDER: S-EPMC11674357 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature