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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...
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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
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Materias: | |
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 |
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