Application of an Artificial Intelligence Algorithm to Prognostically Stratify Grade II Gliomas

Application of an Artificial Intelligence Algorithm to Prognostically Stratify Grade II Gliomas

(1) Background: Recently, it has been shown that the extent of resection (EOR) and molecular classification of low-grade gliomas (LGGs) are endowed with prognostic significance. However, a prognostic stratification of patients able to give specific weight to the single parameters able to predict pro...

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Bibliographic Details
Main Authors: Daniela Cesselli, Tamara Ius, Miriam Isola, Fabio Del Ben, Giacomo Da Col, Michela Bulfoni, Matteo Turetta, Enrico Pegolo, Stefania Marzinotto, Cathryn Anne Scott, Laura Mariuzzi, Carla Di Loreto, Antonio Paolo Beltrami, Miran Skrap
Format: Article
Language:English
Published: MDPI AG 2019-12-01
Series:Cancers
Subjects:
grade ii glioma
prognosis
extent of resection
molecular classification
mri data
artificial intelligence
decision trees
Online Access:https://www.mdpi.com/2072-6694/12/1/50

Internet

https://www.mdpi.com/2072-6694/12/1/50

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