NIMG-17. UTILIZING MACHINE LEARNING FOR PREDICTIVE MODELING OF SEIZURE PRESENTATION IN GLIOMA PATIENTS

PURPOSE: Seizures are frequent symptoms of gliomas. Predicting which patients are more likely to seize and in turn require anti-epileptic management has been a challenge. Correctly identifying these patients could help optimize care and minimize side effects. To provide guidance for clinicians, we u...

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Publicado en:Neuro Oncol
Autores principales: Khurana, Aditya, Ranjbar, Sara, Johnston, Sandra, Hu, Leland, Whitmire, Paula, Sharma, Akanksha, Swanson, Kristin
Formato: Artigo
Lenguaje:Inglês
Publicado: Oxford University Press 2018
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Acceso en línea:https://ncbi.nlm.nih.gov/pmc/articles/PMC6217331/
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/neuonc/noy148.744
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