Identifying epilepsy surgery referral candidates with natural language processing in an Australian context

Identifying epilepsy surgery referral candidates with natural language processing in an Australian context

Abstract Objective Epilepsy surgery is known to be underutilized. Machine learning‐natural language processing (ML‐NLP) may be able to assist with identifying patients suitable for referral for epilepsy surgery evaluation. Methods Data were collected from two tertiary hospitals for patients seen in...

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Bibliographic Details
Main Authors: Sheryn Tan, Rudy Goh, Jeng Swen Ng, Charis Tang, Cleo Ng, Joshua Kovoor, Brandon Stretton, Aashray Gupta, Christopher Ovenden, Merran R. Courtney, Andrew Neal, Emma Whitham, Joseph Frasca, Michelle Kiley, Amal Abou‐Hamden, Stephen Bacchi
Format: Article
Language:English
Published: Wiley 2024-04-01
Series:Epilepsia Open
Subjects:
data mining
natural language processing
neurosurgery
seizures
text analysis
Online Access:https://doi.org/10.1002/epi4.12901

Internet

https://doi.org/10.1002/epi4.12901

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