MRI Radiomic Features to Predict IDH1 Mutation Status in Gliomas: A Machine Learning Approach using Gradient Tree Boosting

In patients with gliomas, isocitrate dehydrogenase 1 (IDH1) mutation status has been studied as a prognostic indicator. Recent advances in machine learning (ML) have demonstrated promise in utilizing radiomic features to study disease processes in the brain. We investigate whether ML analysis of mul...

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Detalles Bibliográficos
Autores principales: Sakai, Yu, Yang, Chen, Kihira, Shingo, Tsankova, Nadejda, Khan, Fahad, Hormigo, Adilia, Lai, Albert, Cloughesy, Timothy, Nael, Kambiz
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7662499/
https://www.ncbi.nlm.nih.gov/pubmed/33121211
http://dx.doi.org/10.3390/ijms21218004

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7662499/
https://www.ncbi.nlm.nih.gov/pubmed/33121211
http://dx.doi.org/10.3390/ijms21218004

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