Natural Language Processing to Improve Prediction of Incident Atrial Fibrillation Using Electronic Health Records

BACKGROUND: Models predicting atrial fibrillation (AF) risk, such as Cohorts for Heart and Aging Research in Genomic Epidemiology AF (CHARGE‐AF), have not performed as well in electronic health records. Natural language processing (NLP) may improve models by using narrative electronic health record...

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Detalles Bibliográficos
Autores principales: Ashburner, Jeffrey M., Chang, Yuchiao, Wang, Xin, Khurshid, Shaan, Anderson, Christopher D., Dahal, Kumar, Weisenfeld, Dana, Cai, Tianrun, Liao, Katherine P., Wagholikar, Kavishwar B., Murphy, Shawn N., Atlas, Steven J., Lubitz, Steven A., Singer, Daniel E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9375475/
https://www.ncbi.nlm.nih.gov/pubmed/35904194
http://dx.doi.org/10.1161/JAHA.122.026014

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9375475/
https://www.ncbi.nlm.nih.gov/pubmed/35904194
http://dx.doi.org/10.1161/JAHA.122.026014

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