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Development of a portable tool to identify atrial fibrillation patients using clinical notes from the electronic medical record
BACKGROUND: The electronic medical record contains a wealth of information buried in free text. We created a natural language processing (NLP) algorithm to identify atrial fibrillation (AF) patients using text alone. METHODS: We created three data sets from patients with at least one AF billing code...
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| Publicado no: | Circ Cardiovasc Qual Outcomes |
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| Main Authors: | , , , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7646941/ https://ncbi.nlm.nih.gov/pubmed/33079591 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1161/CIRCOUTCOMES.120.006516 |
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