Natural Language Processing Enhances Prediction of Functional Outcome After Acute Ischemic Stroke

BACKGROUND: Conventional prognostic scores usually require predefined clinical variables to predict outcome. The advancement of natural language processing has made it feasible to derive meaning from unstructured data. We aimed to test whether using unstructured text in electronic health records can...

Descripción completa

Detalles Bibliográficos
Autores principales: Sung, Sheng‐Feng, Chen, Chih‐Hao, Pan, Ru‐Chiou, Hu, Ya‐Han, Jeng, Jiann‐Shing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9075227/
https://www.ncbi.nlm.nih.gov/pubmed/34796719
http://dx.doi.org/10.1161/JAHA.121.023486

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9075227/
https://www.ncbi.nlm.nih.gov/pubmed/34796719
http://dx.doi.org/10.1161/JAHA.121.023486

Ejemplares similares