Unsupervised machine learning models reveal predictive markers of glioblastoma patient survival using white blood cell counts prior to initiating chemoradiation

PURPOSE: Glioblastoma is a malignant brain tumor requiring careful clinical monitoring even after primary management. Personalized medicine has suggested use of various molecular biomarkers as predictors of patient prognosis or factors utilized for clinical decision making. However, the accessibilit...

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Detalles Bibliográficos
Autores principales: Wang, Wesley, Kumm, Zeynep Temerit, Ho, Cindy, Zanesco-Fontes, Ideli, Texiera, Gustavo, Reis, Rui Manuel, Martinetto, Horacio, Khan, Javaria, Anderson, Mark D., Chohan, M Omar, Beyer, Sasha, Elder, J Brad, Giglio, Pierre, Otero, José Javier
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Journal Experts 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10153371/
https://www.ncbi.nlm.nih.gov/pubmed/37131745
http://dx.doi.org/10.21203/rs.3.rs-2834239/v1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10153371/
https://www.ncbi.nlm.nih.gov/pubmed/37131745
http://dx.doi.org/10.21203/rs.3.rs-2834239/v1

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