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Transforming epilepsy research: A systematic review on natural language processing applications
Arister N J Yew1, Marijn Schraagen2, Willem M Otte3
1University College Utrecht, Utrecht University, Utrecht, The Netherlands.
Epilepsia
|December 3, 2022
Summary
Natural language processing (NLP) enhances epilepsy care by extracting valuable insights from unstructured clinical texts. This AI application improves patient identification, treatment decisions, and information retrieval from various sources.
Area of Science:
- Artificial Intelligence in Medicine
- Clinical Informatics
- Neurology
Background:
- Patient narratives are crucial for epilepsy diagnosis and treatment monitoring.
- Unstructured clinical data in electronic health records and journals limits its utility.
- Natural Language Processing (NLP) offers a solution for analyzing free-text clinical data.
Conclusions:
- NLP is a valuable tool for unlocking insights from unstructured clinical text in epilepsy care.
- Further integration of NLP, inspired by other healthcare domains, can improve quality evaluation, outcome prediction, and record summarization.
- NLP holds significant potential to advance both epilepsy research and patient management.
