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

SIMPLE SUMMARY: Despite the highly aggressive nature of glioblastoma multiforme (GBM), survival time is in practice highly variable, and some of the patients remain stable for several years after treatment. The aim of this study was to develop a machine learning method that could precisely predict s...

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Detalles Bibliográficos
Autores principales: Karami, Golestan, Giuseppe Orlando, Marco, Delli Pizzi, Andrea, Caulo, Massimo, Del Gratta, Cosimo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8507924/
https://www.ncbi.nlm.nih.gov/pubmed/34638460
http://dx.doi.org/10.3390/cancers13194976

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8507924/
https://www.ncbi.nlm.nih.gov/pubmed/34638460
http://dx.doi.org/10.3390/cancers13194976

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