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This systematic review explores the applications of natural language processing (NLP) in epilepsy research, highlighting its potential to enhance clinical decision-making by extracting structured information from unstructured patient narratives. The review includes 26 studies, with 58% utilizing NLP for classifying clinical records to improve patient identification and treatment decisions. It discusses both the opportunities and challenges of implementing NLP in epilepsy care, suggesting that the field coul

Author

LEESHMA

Language

EN