ListarNeuropatología y Biología Molecular por tema "Aprendizaje Automático no Supervisado"

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

Wang, Wesley; Kumm, Zeynep Temerit; Ho, Cindy; Zanesco-Fontes, Ideli; Texiera, Gustavo; Reis, Rui Manuel; Martinetto, Horacio; Khan, Javaria; McCandless, Martin G.; Baker, Katherine E.; Anderson, Mark D.; Chohan, Muhammad Omar; Beyer, Sasha; Elder, J. Brad; Giglio, Pierre; Otero, José Javier (Oxford University Press, 2023-11-11)

Background Glioblastoma is a malignant brain tumor requiring careful clinical monitoring even after primary management. Personalized medicine has suggested the use of various molecular biomarkers as predictors of patient ...

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