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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Dades bibliogràfiques
Publicat a:Neuroimage Clin
Autors principals: 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
Format: Artigo
Idioma:Inglês
Publicat: Elsevier 2020
Matèries:
Regular Article
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC7711280/
https://ncbi.nlm.nih.gov/pubmed/33395995
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.nicl.2020.102506
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