TY  - JOUR 
AU  - García García, Sergio
AU  - García Galindo, Manuel
AU  - Arrese, Ignacio
AU  - Sarabia Herrero, María Rosario
AU  - Cepeda, Santiago
PY  - 2022
SN  - 1648-9144
UR  - https://uvadoc.uva.es/handle/10324/60271
AB  - Background and Objectives: Survival estimation for patients diagnosed with Glioblastoma (GBM) is an important information to consider in patient management and communication. Despite some known risk factors, survival estimation remains a major...
LA  - eng
PB  - MDPI
KW  - Oncology
KW  - Cancer Research
KW  - Neurosciences
KW  - Survival
KW  - Supervivencia
KW  - Artificial intelligence
KW  - Machine learning
KW  - Aprendizaje automático
KW  - Glioblastoma
KW  - Glioma
TI  - Current evidence, limitations and future challenges of survival prediction for glioblastoma based on advanced noninvasive methods: A narrative review
DO  - 10.3390/medicina58121746
ER  -