Assessing Metabolic Markers in Glioblastoma Using Machine Learning: A Systematic Review

Glioblastoma (GBM) is a common and deadly brain tumor with late diagnoses and poor prognoses. Machine learning (ML) is an emerging tool that can create highly accurate diagnostic and prognostic prediction models. This paper aimed to systematically search the literature on ML for GBM metabolism and a...

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Detalles Bibliográficos
Autores principales: Neil, Zachery D., Pierzchajlo, Noah, Boyett, Candler, Little, Olivia, Kuo, Cathleen C., Brown, Nolan J., Gendreau, Julian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Systematic Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9958885/
https://www.ncbi.nlm.nih.gov/pubmed/36837779
http://dx.doi.org/10.3390/metabo13020161

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9958885/
https://www.ncbi.nlm.nih.gov/pubmed/36837779
http://dx.doi.org/10.3390/metabo13020161

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