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Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
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1 to 1 of 1 Research Studies DisplayedWissel BD, Greiner HM, Glauser TA
Early identification of epilepsy surgery candidates: a multicenter, machine learning study.
Epilepsy surgery is underutilized. Automating the identification of potential surgical candidates may facilitate earlier intervention. The study objective was to develop site-specific machine learning (ML) algorithms to identify candidates before they undergo surgery. The investigators concluded that site-specific machine learning algorithms could identify candidates for epilepsy surgery early in the disease course in diverse practice settings.
AHRQ-funded; HS024977.
Citation: Wissel BD, Greiner HM, Glauser TA .
Early identification of epilepsy surgery candidates: a multicenter, machine learning study.
Acta Neurol Scand 2021 Jul;114(1):41-50. doi: 10.1111/ane.13418..
Keywords: Neurological Disorders, Surgery, Health Information Technology (HIT)