NIMG-37. PREDICTING SEIZURE IN GLIOMA PATIENTS USING A RANDOM FOREST CLASSIFIER TRAINED ON SEX-SPECIFIC AND MIXED COHORTS

PURPOSE: Brain tumor related epilepsy (BTE) is a major co-morbidity in patients with glioma. It is difficult to determine whether the use of anti-epileptic drugs is necessary. We attempted to build a machine-learning model to predict the probability of seizure presentation (SP) with glioma. METHODS:...

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Detalhes bibliográficos
Publicado no:Neuro Oncol
Main Authors: Khurana, Aditya, Johnston, Sandra, Whitmire, Paula, Ranjbar, Sara, Sharma, Akanksha, Hawkins-Daarud, Andrea, Rubin, Joshua, Porter, Alyx, Canoll, Peter D, Egan, Kathleen, Hu, Leland, Mrugula, Maciej, Kumthekar, Priya, Swanson, Kristin
Formato: Artigo
Idioma:Inglês
Publicado em: Oxford University Press 2019
Assuntos:
Neuro-Imaging
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6847966/
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/neuonc/noz175.707
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