Prognosis Individualized: Survival predictions for WHO grade II and III gliomas with a machine learning-based web application

WHO grade II and III gliomas demonstrate diverse biological behaviors resulting in variable survival outcomes. In the context of glioma prognosis, machine learning (ML) approaches could facilitate the navigation through the maze of factors influencing survival, aiding clinicians in generating more p...

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Detalles Bibliográficos
Autores principales: Karabacak, Mert, Jagtiani, Pemla, Carrasquilla, Alejandro, Germano, Isabelle M., Margetis, Konstantinos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10603035/
https://www.ncbi.nlm.nih.gov/pubmed/37884599
http://dx.doi.org/10.1038/s41746-023-00948-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10603035/
https://www.ncbi.nlm.nih.gov/pubmed/37884599
http://dx.doi.org/10.1038/s41746-023-00948-y

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