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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 no: | Neuro Oncol |
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| Main Authors: | , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Oxford University Press
2018
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| Assuntos: | |
| Acesso em linha: | 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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