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

Published in:	Frontiers in Neurology
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:	Article
Language:	English
Published:	Frontiers Media S.A. 2025-02-01
Subjects:	natural language processing electroencephalography epilepsy deep learning keyword extraction
Online Access:	https://www.frontiersin.org/articles/10.3389/fneur.2025.1521001/full