Automated Identification of Heart Failure with Reduced Ejection Fraction using Deep Learning-based Natural Language Processing

BACKGROUND: The lack of automated tools for measuring care quality has limited the implementation of a national program to assess and improve guideline-directed care in heart failure with reduced ejection fraction (HFrEF). A key challenge for constructing such a tool has been an accurate, accessible...

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Detalles Bibliográficos
Autores principales: Nargesi, Arash A., Adejumo, Philip, Dhingra, Lovedeep, Rosand, Benjamin, Hengartner, Astrid, Coppi, Andreas, Benigeri, Simon, Sen, Sounok, Ahmad, Tariq, Nadkarni, Girish N, Lin, Zhenqiu, Ahmad, Faraz S., Krumholz, Harlan M, Khera, Rohan
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/PMC10516088/
https://www.ncbi.nlm.nih.gov/pubmed/37745445
http://dx.doi.org/10.1101/2023.09.10.23295315

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10516088/
https://www.ncbi.nlm.nih.gov/pubmed/37745445
http://dx.doi.org/10.1101/2023.09.10.23295315

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