Transforming epilepsy research: A systematic review on natural language processing applications.

ABSTRACT: Despite improved ancillary investigations in epilepsy care, patients' narratives remain indispensable for diagnosing and treatment monitoring. This wealth of information is typically stored in electronic health records and accumulated in medical journals in an unstructured manner, thereby restricting complete utilization in clinical decision-making. To this end, clinical researchers increasing apply natural language processing (NLP)-a branch of artificial intelligence-as it removes ambiguity, derives context, and imbues standardized meaning from free-narrative clinical texts. This systematic review presents an overview of the current NLP applications in epilepsy and discusses the opportunities and drawbacks of NLP alongside its future implications. We searched the PubMed and Embase databas

SUBMITTER: Yew ANJ 

PROVIDER: S-EPMC10108221 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature