Prognosis Individualized: Survival predictions for WHO grade II and III gliomas with a machine learning-based web application
Abstract 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 generati...
Main Authors: | Mert Karabacak, Pemla Jagtiani, Alejandro Carrasquilla, Isabelle M. Germano, Konstantinos Margetis |
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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2023-10-01
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Series: | npj Digital Medicine |
Online Access: | https://doi.org/10.1038/s41746-023-00948-y |
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