Using natural language processing to extract structured epilepsy data from unstructured clinic letters: development and validation of the ExECT (extraction of epilepsy clinical text) system

OBJECTIVE: Routinely collected healthcare data are a powerful research resource but often lack detailed disease-specific information that is collected in clinical free text, for example, clinic letters. We aim to use natural language processing techniques to extract detailed clinical information fro...

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Detalles Bibliográficos
Autores principales: Fonferko-Shadrach, Beata, Lacey, Arron S, Roberts, Angus, Akbari, Ashley, Thompson, Simon, Ford, David V, Lyons, Ronan A, Rees, Mark I, Pickrell, William Owen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2019
Materias:
Neurology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6500195/
https://www.ncbi.nlm.nih.gov/pubmed/30940752
http://dx.doi.org/10.1136/bmjopen-2018-023232

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6500195/
https://www.ncbi.nlm.nih.gov/pubmed/30940752
http://dx.doi.org/10.1136/bmjopen-2018-023232

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