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Data transformation of unstructured electroencephalography reports by natural language processing: improving data usability for large-scale epilepsy studies

IntroductionElectroencephalography (EEG) is a popular technique that provides neurologists with electrographic insights and clinical interpretations. However, these insights are predominantly presented in unstructured textual formats, which complicates data extraction and analysis. In this study, we...

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Principais autores: Yoon Gi Chung, Jaeso Cho, Young Ho Kim, Hyun Woo Kim, Hunmin Kim, Yong Seo Koo, Seo-Young Lee, Young-Min Shon
Formato: Artigo
Idioma:Inglês
Publicado: Frontiers Media S.A. 2025-02-01
Series:Frontiers in Neurology
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Acceso en liña:https://www.frontiersin.org/articles/10.3389/fneur.2025.1521001/full
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