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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Detaylı Bibliyografya
Yayımlandı:BMJ Open
Asıl Yazarlar: Fonferko-Shadrach, Beata, Lacey, Arron S, Roberts, Angus, Akbari, Ashley, Thompson, Simon, Ford, David V, Lyons, Ronan A, Rees, Mark I, Pickrell, William Owen
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: BMJ Publishing Group 2019
Konular:
Neurology
Online Erişim:https://ncbi.nlm.nih.gov/pmc/articles/PMC6500195/
https://ncbi.nlm.nih.gov/pubmed/30940752
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1136/bmjopen-2018-023232
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