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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
Format: Artigo
Sprog:Inglês
Udgivet: Frontiers Media S.A. 2025-02-01
Serier:Frontiers in Neurology
Fag:
natural language processing
electroencephalography
epilepsy
deep learning
keyword extraction
Online adgang:https://www.frontiersin.org/articles/10.3389/fneur.2025.1521001/full
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