Machine Learning based Survival Group Prediction in Glioblastoma<strong> </strong>

Abstract excerpt

Glioblastoma (GBM) is a very aggressive malignant brain tumor with the vast majority of patients surviving less than 12 months (Short-term survivors [STS]). Only around 2% of patients survive more than 36 months (Long-term survivors [LTS]). Studying these extreme survival groups might help in better understanding GBM biology. This work aims at exploring application of machine learning methods in predicting surviva...

Topics

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• Bioinformatics and Genomic Networks
• Cancer, Hypoxia, and Metabolism
• Cancer Mechanisms and Therapy
• Cancer-related molecular mechanisms research
• Ferroptosis and cancer prognosis
• Gene expression and cancer classification
• Glioma Diagnosis and Treatment
• MicroRNA in disease regulation

Identifiers and source

Literature Corpus work

2c32e2dc-5e3d-55dc-a1be-44d2c910a224

DOI

10.20944/preprints202202.0051.v1