Predicting Overall Survival Time in Glioblastoma Patients Using Gradient Boosting Machines Algorithm and Recursive Feature Elimination Technique

Predicting Overall Survival Time in Glioblastoma Patients Using Gradient Boosting Machines Algorithm and Recursive Feature Elimination Technique

Despite advances in tumor treatment, the inconsistent response is a major challenge among glioblastoma multiform (GBM) that lead to different survival time. Our aim was to integrate multimodal MRI with non-supervised and supervised machine learning methods to predict GBM patients’ survival time. To...

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Bibliographic Details
Main Authors: Golestan Karami, Marco Giuseppe Orlando, Andrea Delli Pizzi, Massimo Caulo, Cosimo Del Gratta
Format: Article
Language:English
Published: MDPI AG 2021-10-01
Series:Cancers
Subjects:
GBM
gradient boosting
random forest
recursive feature elimination
survival time
Online Access:https://www.mdpi.com/2072-6694/13/19/4976

Internet

https://www.mdpi.com/2072-6694/13/19/4976

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