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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Bibliografske podrobnosti
izdano v:Circ Cardiovasc Qual Outcomes
Main Authors: Shah, Rashmee U., Mutharasan, R. Kannan, Ahmad, Faraz S., Rosenblatt, Anna G., Gay, Hawkins C., Steinberg, Benjamin A., Yandell, Mark, Tristani-Firouzi, Martin, Klewer, Jake, Mukherjee, Rebeka, Lloyd-Jones, Donald M.
Format: Artigo
Jezik:Inglês
Izdano: 2020
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Article
Online dostop: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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