Identification of delirium from real-world electronic health record clinical notes

INTRODUCTION: We tested the ability of our natural language processing (NLP) algorithm to identify delirium episodes in a large-scale study using real-world clinical notes. METHODS: We used the Rochester Epidemiology Project to identify persons ≥ 65 years who were hospitalized between 2011 and 2017....

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Detalles Bibliográficos
Autores principales: St. Sauver, Jennifer, Fu, Sunyang, Sohn, Sunghwan, Weston, Susan, Fan, Chun, Olson, Janet, Thorsteinsdottir, Bjoerg, LeBrasseur, Nathan, Pagali, Sandeep, Rocca, Walter, Liu, Hongfang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10514685/
https://www.ncbi.nlm.nih.gov/pubmed/37745932
http://dx.doi.org/10.1017/cts.2023.610

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10514685/
https://www.ncbi.nlm.nih.gov/pubmed/37745932
http://dx.doi.org/10.1017/cts.2023.610

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