Extracting seizure frequency from epilepsy clinic notes: a machine reading approach to natural language processing

OBJECTIVE: Seizure frequency and seizure freedom are among the most important outcome measures for patients with epilepsy. In this study, we aimed to automatically extract this clinical information from unstructured text in clinical notes. If successful, this could improve clinical decision-making i...

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Detalles Bibliográficos
Autores principales: Xie, Kevin, Gallagher, Ryan S, Conrad, Erin C, Garrick, Chadric O, Baldassano, Steven N, Bernabei, John M, Galer, Peter D, Ghosn, Nina J, Greenblatt, Adam S, Jennings, Tara, Kornspun, Alana, Kulick-Soper, Catherine V, Panchal, Jal M, Pattnaik, Akash R, Scheid, Brittany H, Wei, Danmeng, Weitzman, Micah, Muthukrishnan, Ramya, Kim, Joongwon, Litt, Brian, Ellis, Colin A, Roth, Dan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Research and Applications
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9006692/
https://www.ncbi.nlm.nih.gov/pubmed/35190834
http://dx.doi.org/10.1093/jamia/ocac018

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9006692/
https://www.ncbi.nlm.nih.gov/pubmed/35190834
http://dx.doi.org/10.1093/jamia/ocac018

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