Natural Language Processing Can Automate Extraction of Barrett’s Esophagus Endoscopy Quality Metrics

OBJECTIVES: To develop an automated natural language processing (NLP) method for extracting high-fidelity Barrett’s Esophagus (BE) endoscopic surveillance and treatment data from the electronic health record (EHR). METHODS: Patients who underwent BE-related endoscopies between 2016 and 2020 at a sin...

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Detalles Bibliográficos
Autores principales: Soroush, Ali, Diamond, Courtney J., Zylberberg, Haley M., May, Benjamin, Tatonetti, Nicholas, Abrams, Julian A., Weng, Chunhua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10403813/
https://www.ncbi.nlm.nih.gov/pubmed/37546941
http://dx.doi.org/10.1101/2023.07.11.23292529

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10403813/
https://www.ncbi.nlm.nih.gov/pubmed/37546941
http://dx.doi.org/10.1101/2023.07.11.23292529

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