Topographic brain tumor anatomy drives seizure risk and enables machine learning based prediction

OBJECTIVE: The aim of this study was to identify relevant risk factors for epileptic seizures upon initial diagnosis of a brain tumor and to develop and validate a machine learning based prediction to allow for a tailored risk-based antiepileptic therapy. METHODS: Clinical, electrophysiological and...

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Detalles Bibliográficos
Autores principales: Akeret, Kevin, Stumpo, Vittorio, Staartjes, Victor E., Vasella, Flavio, Velz, Julia, Marinoni, Federica, Dufour, Jean-Philippe, Imbach, Lukas L., Regli, Luca, Serra, Carlo, Krayenbühl, Niklaus
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Regular Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7711280/
https://www.ncbi.nlm.nih.gov/pubmed/33395995
http://dx.doi.org/10.1016/j.nicl.2020.102506

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7711280/
https://www.ncbi.nlm.nih.gov/pubmed/33395995
http://dx.doi.org/10.1016/j.nicl.2020.102506

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