Accurately Identifying Cerebroarterial Stenosis from Angiography Reports Using Natural Language Processing Approaches

Patients with intracranial artery stenosis show high incidence of stroke. Angiography reports contain rich but underutilized information that can enable the detection of cerebrovascular diseases. This study evaluated various natural language processing (NLP) techniques to accurately identify eleven...

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Detalles Bibliográficos
Autores principales: Lin, Ching-Heng, Hsu, Kai-Cheng, Liang, Chih-Kuang, Lee, Tsong-Hai, Shih, Ching-Sen, Fann, Yang C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9406429/
https://www.ncbi.nlm.nih.gov/pubmed/36010232
http://dx.doi.org/10.3390/diagnostics12081882

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9406429/
https://www.ncbi.nlm.nih.gov/pubmed/36010232
http://dx.doi.org/10.3390/diagnostics12081882

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