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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Bibliographic Details

Main Authors:	Yoon Gi Chung, Jaeso Cho, Young Ho Kim, Hyun Woo Kim, Hunmin Kim, Yong Seo Koo, Seo-Young Lee, Young-Min Shon
Format:	Artigo
Language:	Inglês
Published:	Frontiers Media S.A. 2025-02-01
Series:	Frontiers in Neurology
Subjects:	natural language processing electroencephalography epilepsy deep learning keyword extraction
Online Access:	https://www.frontiersin.org/articles/10.3389/fneur.2025.1521001/full
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