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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...
Autores principales: | Soroush, Ali, Diamond, Courtney J., Zylberberg, Haley M., May, Benjamin, Tatonetti, Nicholas, Abrams, Julian A., Weng, Chunhua |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory
2023
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Materias: | |
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 |
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