Improving Methods of Identifying Anaphylaxis for Medical Product Safety Surveillance Using Natural Language Processing and Machine Learning

We sought to determine whether machine learning and natural language processing (NLP) applied to electronic medical records could improve performance of automated health-care claims-based algorithms to identify anaphylaxis events using data on 516 patients with outpatient, emergency department, or i...

Descripción completa

Detalles Bibliográficos
Autores principales: Carrell, David S, Gruber, Susan, Floyd, James S, Bann, Maralyssa A, Cushing-Haugen, Kara L, Johnson, Ron L, Graham, Vina, Cronkite, David J, Hazlehurst, Brian L, Felcher, Andrew H, Bejan, Cosmin A, Kennedy, Adee, Shinde, Mayura U, Karami, Sara, Ma, Yong, Stojanovic, Danijela, Zhao, Yueqin, Ball, Robert, Nelson, Jennifer C
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Practice of Epidemiology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9896464/
https://www.ncbi.nlm.nih.gov/pubmed/36331289
http://dx.doi.org/10.1093/aje/kwac182

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9896464/
https://www.ncbi.nlm.nih.gov/pubmed/36331289
http://dx.doi.org/10.1093/aje/kwac182

Ejemplares similares