Prediction of Pseudoprogression versus Progression using Machine Learning Algorithm in Glioblastoma

Abstract We aimed to investigate the feasibility of machine learning (ML) algorithm to distinguish pseudoprogression (PsPD) from progression (PD) in patients with glioblastoma (GBM). We recruited the patients diagnosed as primary GBM who received gross total resection (GTR) and concurrent chemoradio...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Bum-Sup Jang, Seung Hyuck Jeon, Il Han Kim, In Ah Kim
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2018
Materias:
R
Q
Acceso en línea:https://doaj.org/article/cdb37370dbdc4f8f86062035714c7a2b
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!