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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...
Autores principales: | Neil, Zachery D., Pierzchajlo, Noah, Boyett, Candler, Little, Olivia, Kuo, Cathleen C., Brown, Nolan J., Gendreau, Julian |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
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 |
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