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Multimodal data and machine learning for surgery outcome prediction in complicated cases of mesial temporal lobe epilepsy

BACKGROUND: This study sought to predict postsurgical seizure freedom from pre-operative diagnostic test results and clinical information using a rapid automated approach, based on supervised learning methods in patients with drug-resistant focal seizures suspected to begin in temporal lobe. METHOD:...

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Détails bibliographiques
Publié dans:Comput Biol Med
Auteurs principaux: Memarian, Negar, Kim, Sally, Dewar, Sandra, Engel, Jerome, Staba, Richard J.
Format: Artigo
Langue:Inglês
Publié: 2015
Sujets:
Accès en ligne:https://ncbi.nlm.nih.gov/pmc/articles/PMC4554822/
https://ncbi.nlm.nih.gov/pubmed/26149291
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.compbiomed.2015.06.008
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