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

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...

Full description

Bibliographic Details
Main Authors: Mert Karabacak, Pemla Jagtiani, Alejandro Carrasquilla, Isabelle M. Germano, Konstantinos Margetis
Format: Article
Language:English
Published: Nature Portfolio 2023-10-01
Series:npj Digital Medicine
Online Access:https://doi.org/10.1038/s41746-023-00948-y

Internet

https://doi.org/10.1038/s41746-023-00948-y

Similar Items